Triple
T18319870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Turf |
E438843
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Benbatl |
—
|
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: Benbatl | Statement: [Dubai Turf, notableWinner, Benbatl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benbatl Context triple: [Dubai Turf, notableWinner, Benbatl]
-
A.
Benbatl
chosen
Benbatl is a top-class British-trained Thoroughbred racehorse known for multiple Group 1 victories across Europe, the Middle East, and Australia.
-
B.
El Battan
El Battan is a town in northern Tunisia located within the Manouba Governorate, known primarily as an agricultural center in the Medjerda River valley.
-
C.
The Battler
The Battler is a short story by Ernest Hemingway that follows a young drifter’s tense encounter with a mentally unstable ex-boxer beside a Midwestern railroad track.
-
D.
Batalla
Batalla is a Spanish-language surname borne by various individuals, including the Argentine footballer Pablo Batalla.
-
E.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa4d3308190883714e1ef6a1d84 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.