Triple
T1294005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shea Stadium |
E27611
|
entity |
| Predicate | capacityBaseball |
P28347
|
FINISHED |
| Object | approx. 57,333 |
—
|
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. 57,333 | Statement: [Shea Stadium, capacityBaseball, approx. 57,333]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capacityBaseball Context triple: [Shea Stadium, capacityBaseball, approx. 57,333]
-
A.
hasBallpark
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
-
B.
ballpark
Indicates an approximate or rough estimation of a value, rather than an exact or precise figure.
-
C.
hasBattingCages
Indicates that a place or facility includes or provides access to batting cages for practice or recreation.
-
D.
ballparkCharacteristic
Indicates a characteristic, feature, or attribute that is associated with a ballpark.
-
E.
hasBullpens
Indicates that one entity possesses or includes one or more bullpens associated with it.
- 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_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. |
| PDg | Predicate description generation | batch_69a4c3b9ebdc819098de4d3288201bc1 |
completed | March 1, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:51 p.m.