Triple
T1381455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustangs |
E29345
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Peruna |
E110039
|
NE FINISHED |
How this triple was built (2 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: Peruna | Statement: [Mustangs, mascot, Peruna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peruna Context triple: [Mustangs, mascot, Peruna]
-
A.
Peruna
chosen
Peruna is the live Shetland pony that serves as the official mascot of Southern Methodist University's athletic teams.
-
B.
Molokhia
Molokhia is a traditional Middle Eastern and North African dish made from finely chopped jute leaves cooked into a garlicky, often chicken- or rabbit-based green stew commonly served over rice or with bread.
-
C.
Chía
Chía is a municipality in the department of Cundinamarca, Colombia, known for its rapid urban growth and proximity to the capital city, Bogotá.
-
D.
Mustardinha
Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
-
E.
Leek
Leek is a historic market town in Staffordshire, England, known for its textile heritage and picturesque location near the Peak District.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31b176c8190a896183140c5c8be |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48c41f4819092f7e1302d803662 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:59 p.m.