Triple
T20250535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okimi |
E498539
|
entity |
| Predicate | hasFormerAdministrativeClassification |
P120323
|
FINISHED |
| Object | municipality of Japan |
—
|
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: municipality of Japan | Statement: [Okimi, hasFormerAdministrativeClassification, municipality of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerAdministrativeClassification Context triple: [Okimi, hasFormerAdministrativeClassification, municipality of Japan]
-
A.
wasFormerlyClassifiedAs
chosen
Indicates that an entity previously belonged to a particular class or category but no longer does so.
-
B.
formerAdministeredBy
Indicates that an entity was previously administered or managed by another entity, but is no longer under that administration.
-
C.
hasFormerDivision
Indicates that an entity previously had another entity as one of its internal divisions or sub-units, but no longer does.
-
D.
hasFormerJurisdictionOver
Indicates that an entity previously held legal or administrative authority over another entity, but no longer does so.
-
E.
previousClassification
Indicates that one classification precedes another in time or in an ordered sequence of classifications.
- 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_69e673a79a208190a5a7c0f6515bc393 |
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, 11:41 p.m.