Triple
T20244973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rikken Dōshikai |
E498399
|
entity |
| Predicate | numberOfDietMembersAtFounding |
P45752
|
FINISHED |
| Object | about 70 |
—
|
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: about 70 | Statement: [Rikken Dōshikai, numberOfDietMembersAtFounding, about 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDietMembersAtFounding Context triple: [Rikken Dōshikai, numberOfDietMembersAtFounding, about 70]
-
A.
hadNumberOfMembers
chosen
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
-
B.
numberOfCoFounders
Indicates the count of individuals who jointly founded a given entity.
-
C.
originalNumberOfMembers
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
D.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
E.
foundingMembersCollectiveName
Indicates the shared collective name used to refer to the group of founding members.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a10ab48190a408a5d2c2b0808b |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:40 p.m.