Triple

T762815
Position Surface form Disambiguated ID Type / Status
Subject Argonne National Laboratory E16107 entity
Predicate hasFacility P105 FINISHED
Object Transportation Research and Analysis Computing Center
The Transportation Research and Analysis Computing Center is a high-performance computing facility dedicated to advanced modeling, simulation, and analysis of transportation systems and technologies.
E90045 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Transportation Research and Analysis Computing Center | Statement: [Argonne National Laboratory, hasFacility, Transportation Research and Analysis Computing Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transportation Research and Analysis Computing Center
Context triple: [Argonne National Laboratory, hasFacility, Transportation Research and Analysis Computing Center]
  • A. United States Department of Transportation
    The United States Department of Transportation is a federal executive department responsible for national transportation policy, safety regulation, and infrastructure across modes such as highways, aviation, rail, and transit.
  • B. Federal Highway Administration
    The Federal Highway Administration is a U.S. government agency responsible for supporting the construction, maintenance, and safety of the nation’s highway and road systems.
  • C. Research Triangle
    The Research Triangle is a major metropolitan region in North Carolina known for its concentration of universities, high-tech research, and innovation-driven industries.
  • D. Statistical Research Center
    The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
  • E. National Transit Database
    The National Transit Database is the primary federal repository of financial, operational, and asset data on U.S. public transportation systems, used for planning, oversight, and funding decisions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Transportation Research and Analysis Computing Center
Triple: [Argonne National Laboratory, hasFacility, Transportation Research and Analysis Computing Center]
Generated description
The Transportation Research and Analysis Computing Center is a high-performance computing facility dedicated to advanced modeling, simulation, and analysis of transportation systems and technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Transportation Research and Analysis Computing Center
Target entity description: The Transportation Research and Analysis Computing Center is a high-performance computing facility dedicated to advanced modeling, simulation, and analysis of transportation systems and technologies.
  • A. United States Department of Transportation
    The United States Department of Transportation is a federal executive department responsible for national transportation policy, safety regulation, and infrastructure across modes such as highways, aviation, rail, and transit.
  • B. Federal Highway Administration
    The Federal Highway Administration is a U.S. government agency responsible for supporting the construction, maintenance, and safety of the nation’s highway and road systems.
  • C. Research Triangle
    The Research Triangle is a major metropolitan region in North Carolina known for its concentration of universities, high-tech research, and innovation-driven industries.
  • D. Statistical Research Center
    The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
  • E. National Transit Database
    The National Transit Database is the primary federal repository of financial, operational, and asset data on U.S. public transportation systems, used for planning, oversight, and funding decisions.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6841f388190a6d08c3bf5c17fe4 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e46d86c81908bc0ea469ccb091d completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65eeaa34481909b0deac860fbadfc completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f7b09b08190bf38f02a912b2276 completed March 3, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:37 p.m.