Triple
T33340203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Other Stage |
E853646
|
entity |
| Predicate | hasCapacityApproximate |
P21034
|
FINISHED |
| Object | tens of thousands of spectators |
—
|
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: tens of thousands of spectators | Statement: [Other Stage, hasCapacityApproximate, tens of thousands of spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapacityApproximate Context triple: [Other Stage, hasCapacityApproximate, tens of thousands of spectators]
-
A.
approximateCapacity
chosen
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
-
B.
hasCapacityTo
Indicates that one entity possesses the ability, power, or potential to perform an action or bring about a particular effect in relation to another entity or context.
-
C.
hasCapacityAs
Indicates that an entity possesses a particular role, function, or capability in which it can act or be utilized.
-
D.
hasCapacityNote
Indicates that there is an associated explanatory note or comment describing details or qualifications about an entity’s capacity.
-
E.
hasCapacityProperty
Indicates that an entity is associated with a capacity-related characteristic, such as volume, throughput, or maximum amount it can hold or handle.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:34 a.m.