Triple
T515688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Socialist Party |
E10700
|
entity |
| Predicate | wasMajorPartyDuring |
P15296
|
FINISHED |
| Object | 1955 System |
—
|
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: 1955 System | Statement: [Japan Socialist Party, wasMajorPartyDuring, 1955 System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMajorPartyDuring Context triple: [Japan Socialist Party, wasMajorPartyDuring, 1955 System]
-
A.
hasMajorParties
Indicates that an entity is associated with its primary participating parties or main involved groups.
-
B.
otherMajorParty
Indicates that an entity is affiliated with a major political party other than a specified primary or reference party.
-
C.
hasMajorityPartyMembers
Indicates that a group, body, or organization contains more members from a particular political party than from any other party, giving that party majority representation.
-
D.
hasMinorityPartyMembers
Indicates that the subject includes or is associated with members belonging to a minority political party.
-
E.
incumbentPartyBeforeElection
Indicates which political party held governing power immediately prior to a given election.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1836b688190a60cc901a8724159 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2f0151e8c81909a82b58ac0515eba |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f1137e948190838303cdaa757a5a |
completed | Feb. 28, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.