Triple
T9276654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheltenham Racecourse |
E222964
|
entity |
| Predicate | hasEnclosure |
P15848
|
FINISHED |
| Object | Best Mate Enclosure |
E788846
|
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: Best Mate Enclosure | Statement: [Cheltenham Racecourse, hasEnclosure, Best Mate Enclosure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Best Mate Enclosure Context triple: [Cheltenham Racecourse, hasEnclosure, Best Mate Enclosure]
-
A.
Best Mate Enclosure
chosen
Best Mate Enclosure is a spectator grandstand area at Cheltenham Racecourse offering racegoers viewing and hospitality facilities.
-
B.
Pombaline cage
The Pombaline cage is an innovative 18th-century Portuguese timber-lattice structural system developed in Lisbon to improve buildings’ resistance to earthquakes.
-
C.
Gorden
Gorden is a masculine given name, notably borne by former Australian rugby league footballer Gorden Tallis.
-
D.
Bett
Bett is a given name, typically used as a short form or variant of names like Bette, Elizabeth, or Bettina.
-
E.
Club Enclosure
Club Enclosure is a premium spectator area at Cheltenham Racecourse offering enhanced viewing, facilities, and hospitality for racegoers.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07c95a98819098528b7ada37ddc1 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1fef1508190a9bf1a55dd39c0ac |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:34 p.m.