Triple
T515687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Socialist Party |
E10700
|
entity |
| Predicate | peakSeatShareHouseOfRepresentatives |
P4273
|
FINISHED |
| Object | 1958 |
—
|
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: 1958 | Statement: [Japan Socialist Party, peakSeatShareHouseOfRepresentatives, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakSeatShareHouseOfRepresentatives Context triple: [Japan Socialist Party, peakSeatShareHouseOfRepresentatives, 1958]
-
A.
legislativeAssemblySeats
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
B.
numberOfRepresentatives
chosen
Indicates the quantity of representatives associated with a given entity or unit.
-
C.
parliamentaryHouse
Indicates that one entity functions as a parliamentary chamber or house within the legislative system of another entity.
-
D.
houseRepresentationBasis
Indicates the foundational criteria or rationale on which a particular representation of a house is based.
-
E.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
- 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_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. |
Created at: Feb. 28, 2026, 1:12 p.m.