Triple
T10205174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convention de Washington |
E242173
|
entity |
| Predicate | nombreDeParties |
P92706
|
FINISHED |
| Object | plus de 180 États |
—
|
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: plus de 180 États | Statement: [Convention de Washington, nombreDeParties, plus de 180 États]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nombreDeParties Context triple: [Convention de Washington, nombreDeParties, plus de 180 États]
-
A.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
-
B.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
C.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
D.
numberOfKnownPlays
Indicates the total count of plays that are known to be associated with a given entity (such as an author, theater, or period).
-
E.
numberOfGamesInMatch
Indicates the total count of individual games that make up a single match.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_69d3aa208c248190a0fb186b106389f3 |
completed | April 6, 2026, 12:42 p.m. |
Created at: April 6, 2026, 10:42 a.m.