Triple
T11055274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borregos Salvajes |
E261357
|
entity |
| Predicate | league |
P888
|
FINISHED |
| Object | ONEFA |
E902680
|
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: ONEFA | Statement: [Borregos Salvajes, league, ONEFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONEFA Context triple: [Borregos Salvajes, league, ONEFA]
-
A.
ONEFA
chosen
ONEFA is Mexico’s main collegiate American football organization, overseeing university-level competitions and championships nationwide.
-
B.
ONE
ONE was the stock ticker symbol for Bank One Corporation, a major U.S. bank that later merged with JPMorgan Chase.
-
C.
ONE
ONE is a global advocacy and campaigning organization focused on ending extreme poverty and preventable disease, particularly in Africa.
-
D.
UNON
UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
-
E.
Eine
Eine is a small river in Saxony-Anhalt, Germany, that flows through the town of Aschersleben.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a152b4819095b74a8996346077 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e74e1dc881908afc01b328cda843 |
completed | April 18, 2026, 8:19 p.m. |
Created at: April 8, 2026, 9:26 p.m.