Triple
T1294006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shea Stadium |
E27611
|
entity |
| Predicate | capacityFootball |
P13599
|
FINISHED |
| Object | approx. 60,372 |
—
|
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: approx. 60,372 | Statement: [Shea Stadium, capacityFootball, approx. 60,372]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capacityFootball Context triple: [Shea Stadium, capacityFootball, approx. 60,372]
-
A.
stadiumCapacityApprox
chosen
Indicates an approximate number of people that a stadium can accommodate.
-
B.
typeOfFootball
Indicates the specific code or variant of football that characterizes or classifies a given football-related entity.
-
C.
homeStadiumCapacity
Indicates the seating capacity of the stadium that serves as a team's or organization's home venue.
-
D.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
-
E.
stadium
Indicates that an entity is a sports or event venue where games, competitions, or large gatherings take place.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.