Triple
T18110894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | July Cup |
E433469
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Muhaarar |
—
|
NE NERFINISHED |
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: Muhaarar | Statement: [July Cup, notableWinner, Muhaarar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muhaarar Context triple: [July Cup, notableWinner, Muhaarar]
-
A.
Muhaarar
chosen
Muhaarar is a British Thoroughbred racehorse best known as a top-class sprinter and European champion three-year-old sprinter in 2015.
-
B.
Mohaather
Mohaather was a top-class British Thoroughbred racehorse best known for his explosive turn of foot over a mile and a standout 2020 season.
-
C.
Kallar Kahar
Kallar Kahar is a town in Pakistan’s Punjab province known for its scenic lake, historic Mughal-era garden, and location along the M2 Motorway.
-
D.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
E.
Azaiba
Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beaches, proximity to the airport, and location along major city roads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd2038081909515fb6d17495cbf |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.