Triple
T2897202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin Toros |
E63968
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Toros
Toros is the abbreviated name of the Austin Toros, a professional basketball team that competed in the NBA Development League.
|
E307699
|
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: Toros | Statement: [Austin Toros, shortName, Toros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toros Context triple: [Austin Toros, shortName, Toros]
-
A.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills in intercollegiate sports.
-
B.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
C.
Bronk
Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
-
D.
Tigres
Tigres is a professional Mexican football club based in San Nicolás de los Garza, Nuevo León, known for its success in Liga MX and passionate fan base.
-
E.
Bronco
Bronco is a line of rugged sport-utility vehicles produced by Ford, known for their off-road capability and iconic boxy styling.
- 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: Toros Triple: [Austin Toros, shortName, Toros]
Generated description
Toros is the abbreviated name of the Austin Toros, a professional basketball team that competed in the NBA Development League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toros Target entity description: Toros is the abbreviated name of the Austin Toros, a professional basketball team that competed in the NBA Development League.
-
A.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
B.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills in intercollegiate sports.
-
C.
Bronk
Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
-
D.
Tigres
Tigres is a professional Mexican football club based in San Nicolás de los Garza, Nuevo León, known for its success in Liga MX and passionate fan base.
-
E.
Bronco
Bronco is a line of rugged sport-utility vehicles produced by Ford, known for their off-road capability and iconic boxy styling.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08e7b248190a6bb0f6999f99c23 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03188d84081909e23b46c2f75250b |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b036ef40188190880dfe3592107b0e |
completed | March 10, 2026, 3:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03bca591c81908b3734cc8f2e712b |
completed | March 10, 2026, 3:42 p.m. |
Created at: March 6, 2026, 10:08 p.m.