Triple
T2870536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of San Diego |
E63548
|
entity |
| Predicate | athleticsNickname |
P55
|
FINISHED |
| Object |
Toreros
Toreros is the nickname for the University of San Diego’s athletic teams, which compete in NCAA Division I sports.
|
E305615
|
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: Toreros | Statement: [University of San Diego, athleticsNickname, Toreros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toreros Context triple: [University of San Diego, athleticsNickname, Toreros]
-
A.
Gauchos
The Gauchos are the athletic teams representing the University of California, Santa Barbara in intercollegiate sports.
-
B.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills in intercollegiate sports.
-
C.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
D.
Tejanos
Tejanos are Mexican-origin residents of Texas whose distinct culture blends Spanish, Indigenous, and later Anglo-American influences and has played a central role in the region’s history and identity.
-
E.
Red Raiders
The Red Raiders are the athletic teams representing Northwestern College in Orange City, Iowa, competing in the NAIA.
- 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: Toreros Triple: [University of San Diego, athleticsNickname, Toreros]
Generated description
Toreros is the nickname for the University of San Diego’s athletic teams, which compete in NCAA Division I sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toreros Target entity description: Toreros is the nickname for the University of San Diego’s athletic teams, which compete in NCAA Division I sports.
-
A.
Gauchos
The Gauchos are the athletic teams representing the University of California, Santa Barbara in intercollegiate sports.
-
B.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills in intercollegiate sports.
-
C.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
D.
Tejanos
Tejanos are Mexican-origin residents of Texas whose distinct culture blends Spanish, Indigenous, and later Anglo-American influences and has played a central role in the region’s history and identity.
-
E.
Red Raiders
The Red Raiders are the athletic teams representing Northwestern College in Orange City, Iowa, competing in the NAIA.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe2dcb48190a194253e733d14af |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db01d348190945ab982ce5c5b2d |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b0201470cc81909188573c3749dffb |
completed | March 10, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020aa00888190a683a621f1e1a107 |
completed | March 10, 2026, 1:46 p.m. |
Created at: March 6, 2026, 10:02 p.m.