Triple
T508153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Dallas |
E10546
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
|
E63357
|
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: [FC Dallas, nickname, Toros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toros Context triple: [FC Dallas, nickname, Toros]
-
A.
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.
-
B.
Lobos
Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
-
C.
Buffalo Bull
Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
-
D.
Bulls
Bulls is the short name for the Durham Bulls, a Minor League Baseball team best known for its long history and association with the film "Bull Durham."
-
E.
Panthers
The Panthers are the athletic teams representing Florida International University in collegiate sports competitions.
- 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: [FC Dallas, nickname, Toros]
Generated description
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toros Target entity description: Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
A.
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.
-
B.
Lobos
Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
-
C.
Buffalo Bull
Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
-
D.
Bulls
Bulls is the short name for the Durham Bulls, a Minor League Baseball team best known for its long history and association with the film "Bull Durham."
-
E.
Panthers
The Panthers are the athletic teams representing Florida International University in collegiate sports competitions.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14dcd688190ad47a3b31b95b6d4 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a498506418819090190a35e8763982 |
completed | March 1, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69a499da231c8190abd973d9ac3969ff |
completed | March 1, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a49b0045b481908f5e863d61b7e17e |
completed | March 1, 2026, 8:01 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.