Triple
T2294081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliamentary Assembly of the Council of Europe |
E51569
|
entity |
| Predicate | numberOfSubstitutes |
P39022
|
FINISHED |
| Object | approximately 306 substitute members |
—
|
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: approximately 306 substitute members | Statement: [Parliamentary Assembly of the Council of Europe, numberOfSubstitutes, approximately 306 substitute members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubstitutes Context triple: [Parliamentary Assembly of the Council of Europe, numberOfSubstitutes, approximately 306 substitute members]
-
A.
mayBeReplacedBy
Indicates that one entity can potentially be substituted or superseded by another entity.
-
B.
numberOfConstituents
Indicates the total count of individual components or members that make up a larger whole or group.
-
C.
numberOfSubscribers
Indicates the total count of subscribers associated with a given entity.
-
D.
replacedFrequency
Indicates how often one entity is substituted for or takes the place of another over a given period.
-
E.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcd0d01ac8190935fe904905cb233 |
completed | March 7, 2026, 7 a.m. |
Created at: March 4, 2026, 7:49 p.m.