Triple
T2683519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 26th General Conference on Weights and Measures |
E57428
|
entity |
| Predicate | hasNumberOfMemberStatesRepresented |
P1590
|
FINISHED |
| Object | member states of the Metre Convention |
—
|
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: member states of the Metre Convention | Statement: [26th General Conference on Weights and Measures, hasNumberOfMemberStatesRepresented, member states of the Metre Convention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMemberStatesRepresented Context triple: [26th General Conference on Weights and Measures, hasNumberOfMemberStatesRepresented, member states of the Metre Convention]
-
A.
numberOfStatesRepresented
Indicates how many distinct states are represented or covered in a given context or entity.
-
B.
numberOfMemberStates
chosen
Indicates the total count of member states associated with a given entity or organization.
-
C.
hasRepresentativeBody
Indicates that an entity is associated with or governed by a specific representative body that acts or decides on its behalf.
-
D.
numberOfColoniesRepresented
Indicates the count of distinct colonies that are represented or involved in relation to a given entity or context.
-
E.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d7692c81909d8fd9ce3817161b |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.