Triple
T24714991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacto de San José |
E612134
|
entity |
| Predicate | númeroDeArtículos |
P443
|
FINISHED |
| Object | 82 |
—
|
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: 82 | Statement: [Pacto de San José, númeroDeArtículos, 82]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: númeroDeArtículos Context triple: [Pacto de San José, númeroDeArtículos, 82]
-
A.
estimatedNumberOfItems
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
-
B.
articleCount
chosen
Indicates the number of articles associated with a given entity or context.
-
C.
articleNumber
Indicates that one entity is identified or referenced by a specific article number assigned to it.
-
D.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
E.
mainQuantity
Indicates that the associated value represents the primary or principal quantity in a given context or relationship.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:33 a.m.