Triple
T1681531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bombonera |
E36348
|
entity |
| Predicate | hasCapacityApprox |
P21034
|
FINISHED |
| Object | 54000 |
—
|
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: 54000 | Statement: [La Bombonera, hasCapacityApprox, 54000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapacityApprox Context triple: [La Bombonera, hasCapacityApprox, 54000]
-
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.
hasCapacityNote
Indicates that there is an associated explanatory note or comment describing details or qualifications about an entity’s capacity.
-
D.
hasCapacityType
Indicates that an entity possesses a specific kind or classification of capacity or capability.
-
E.
laterCapacity
Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.