Triple
T24623926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Park railway station |
E609484
|
entity |
| Predicate | hasEventCapacityRole |
P156784
|
FINISHED |
| Object | handles large event crowds |
—
|
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: handles large event crowds | Statement: [Olympic Park railway station, hasEventCapacityRole, handles large event crowds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEventCapacityRole Context triple: [Olympic Park railway station, hasEventCapacityRole, handles large event crowds]
-
A.
hasStandingCapacity
Indicates that an entity is capable of maintaining or supporting a specified condition, function, or load on an ongoing basis.
-
B.
capacityDuringEvent
Indicates the maximum number of occupants or usage level that a place, system, or resource can handle specifically during a given event.
-
C.
heldByInCapacityAs
Indicates that something is held or possessed by an entity specifically in a defined role, function, or official capacity rather than in a general or personal sense.
-
D.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
-
E.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.