Triple
T35479564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenseitō |
E1025430
|
entity |
| Predicate | emergedInEra |
P48171
|
FINISHED |
| Object | Meiji era |
—
|
NE NERFINISHED |
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: Meiji era | Statement: [Kenseitō, emergedInEra, Meiji era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergedInEra Context triple: [Kenseitō, emergedInEra, Meiji era]
-
A.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
-
B.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
-
C.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
D.
historicalEraOfRise
chosen
Indicates the historical era or period during which an entity first rose to prominence, influence, or significance.
-
E.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:04 p.m.