Triple
T808946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas A&M University System |
E17499
|
entity |
| Predicate | hasAgency |
P3933
|
FINISHED |
| Object |
Texas A&M Transportation Institute
The Texas A&M Transportation Institute is a leading research agency specializing in transportation systems, safety, and infrastructure innovation.
|
E96872
|
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 Transportation Institute | Statement: [Texas A&M University System, hasAgency, Texas A&M Transportation Institute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas A&M Transportation Institute Context triple: [Texas A&M University System, hasAgency, Texas A&M Transportation Institute]
-
A.
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.
-
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.
National Highway Traffic Safety Administration
The National Highway Traffic Safety Administration is a U.S. federal agency responsible for improving road safety by setting and enforcing vehicle performance standards, investigating defects, and promoting traffic safety initiatives.
-
D.
Texas Department of Transportation
The Texas Department of Transportation is the state agency responsible for planning, building, and maintaining Texas’s highway system and other key transportation infrastructure.
-
E.
University of Texas System
The University of Texas System is a large public university system in Texas comprising multiple academic and health institutions, including flagship campuses like the University of Texas at Austin.
- 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 Transportation Institute Triple: [Texas A&M University System, hasAgency, Texas A&M Transportation Institute]
Generated description
The Texas A&M Transportation Institute is a leading research agency specializing in transportation systems, safety, and infrastructure innovation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Texas A&M Transportation Institute Target entity description: The Texas A&M Transportation Institute is a leading research agency specializing in transportation systems, safety, and infrastructure innovation.
-
A.
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.
-
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.
National Highway Traffic Safety Administration
The National Highway Traffic Safety Administration is a U.S. federal agency responsible for improving road safety by setting and enforcing vehicle performance standards, investigating defects, and promoting traffic safety initiatives.
-
D.
Texas Department of Transportation
The Texas Department of Transportation is the state agency responsible for planning, building, and maintaining Texas’s highway system and other key transportation infrastructure.
-
E.
University of Texas System
The University of Texas System is a large public university system in Texas comprising multiple academic and health institutions, including flagship campuses like the University of Texas at Austin.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab256cbc8190bf75b5d5e35ff0aa |
completed | March 1, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8623248190a2306b23ea378534 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a786dce5f481909bae68fade141630 |
completed | March 4, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78744908481909f2ff69fcc873b6d |
completed | March 4, 2026, 1:13 a.m. |
Created at: March 1, 2026, 7:38 p.m.