Triple
T8884754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascot Racecourse |
E211499
|
entity |
| Predicate | hasAttendanceCapacity |
P79202
|
FINISHED |
| Object | around 70,000 on major racedays |
—
|
LITERAL 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: around 70,000 on major racedays | Statement: [Ascot Racecourse, hasAttendanceCapacity, around 70,000 on major racedays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttendanceCapacity Context triple: [Ascot Racecourse, hasAttendanceCapacity, around 70,000 on major racedays]
-
A.
hasStandingCapacity
Indicates that an entity is capable of maintaining or supporting a specified condition, function, or load on an ongoing basis.
-
B.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
-
C.
officialCapacity
Indicates that an action or relationship is undertaken or held by an entity in their formal, authorized, or institutional role rather than in a personal capacity.
-
D.
capacityDuringEvent
chosen
Indicates the maximum number of occupants or usage level that a place, system, or resource can handle specifically during a given event.
-
E.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
- F. None of above.
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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616cf8c48190a27b381e48f23377 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.