Triple
T20250547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okimi |
E498539
|
entity |
| Predicate | hasFormerSettlementCategory |
P60162
|
FINISHED |
| Object | dissolved 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: dissolved municipality of Japan | Statement: [Okimi, hasFormerSettlementCategory, dissolved municipality of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerSettlementCategory Context triple: [Okimi, hasFormerSettlementCategory, dissolved municipality of Japan]
-
A.
hasFormerSettlement
Indicates that a location previously contained a settlement that no longer exists or is no longer inhabited.
-
B.
isOneOfOlderSettlementsIn
Indicates that an entity is among the earlier or historically older settlements located within a specified area or region.
-
C.
hasTraditionalSettlementType
Indicates that an entity is associated with a specific traditional or historically established type of human settlement (e.g., village, town, hamlet).
-
D.
hasHistoricalCategory
chosen
Indicates that something is associated with a particular historical classification, period, or type based on its past context or significance.
-
E.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
- 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.