Triple

T745745
Position Surface form Disambiguated ID Type / Status
Subject College Station, Texas E15336 entity
Predicate hasResearchFacility P2881 FINISHED
Object Texas A&M University Research Park
Texas A&M University Research Park is a dedicated research and innovation campus associated with Texas A&M University that hosts laboratories, technology companies, and collaborative academic–industry facilities.
E88835 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: Texas A&M University Research Park | Statement: [College Station, Texas, hasResearchFacility, Texas A&M University Research Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas A&M University Research Park
Context triple: [College Station, Texas, hasResearchFacility, Texas A&M University Research Park]
  • A. Texas A&M University Health Science Center
    Texas A&M University Health Science Center is an academic health institution within Texas A&M University that oversees education, research, and clinical programs across multiple health professions and disciplines.
  • B. Texas A&M University System
    The Texas A&M University System is a state university system in Texas comprising multiple universities, agencies, and research centers, with Texas A&M University as its flagship institution.
  • C. Southwest Center for Advanced Studies (predecessor of UT Dallas)
    The Southwest Center for Advanced Studies was a graduate research institution in Texas that evolved into the University of Texas at Dallas, helping lay the foundation for the university’s strong focus on science and engineering.
  • D. Texas A&M University
    Texas A&M University is a major public research university in College Station, Texas, known for its strong programs in agriculture, engineering, and the sciences.
  • E. University Park, Texas
    University Park, Texas is an affluent suburban city in the Dallas–Fort Worth area best known as the home of Southern Methodist University.
  • 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: Texas A&M University Research Park
Triple: [College Station, Texas, hasResearchFacility, Texas A&M University Research Park]
Generated description
Texas A&M University Research Park is a dedicated research and innovation campus associated with Texas A&M University that hosts laboratories, technology companies, and collaborative academic–industry facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Texas A&M University Research Park
Target entity description: Texas A&M University Research Park is a dedicated research and innovation campus associated with Texas A&M University that hosts laboratories, technology companies, and collaborative academic–industry facilities.
  • A. Texas A&M University Health Science Center
    Texas A&M University Health Science Center is an academic health institution within Texas A&M University that oversees education, research, and clinical programs across multiple health professions and disciplines.
  • B. Texas A&M University System
    The Texas A&M University System is a state university system in Texas comprising multiple universities, agencies, and research centers, with Texas A&M University as its flagship institution.
  • C. Southwest Center for Advanced Studies (predecessor of UT Dallas)
    The Southwest Center for Advanced Studies was a graduate research institution in Texas that evolved into the University of Texas at Dallas, helping lay the foundation for the university’s strong focus on science and engineering.
  • D. Texas A&M University
    Texas A&M University is a major public research university in College Station, Texas, known for its strong programs in agriculture, engineering, and the sciences.
  • E. University Park, Texas
    University Park, Texas is an affluent suburban city in the Dallas–Fort Worth area best known as the home of Southern Methodist University.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a61217b881908592096b1edacb8a completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e664e4819081badaf0ba0d86e5 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655e0a2608190801fb67856bc2ac4 completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65704a964819097ad5074e83303b4 completed March 3, 2026, 3:35 a.m.
Created at: March 1, 2026, 7:37 p.m.