Triple
T13221410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubeshibe |
E314761
|
entity |
| Predicate | hasMunicipalHistory |
P65603
|
FINISHED |
| Object | merged into Kitami |
—
|
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: merged into Kitami | Statement: [Rubeshibe, hasMunicipalHistory, merged into Kitami]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalHistory Context triple: [Rubeshibe, hasMunicipalHistory, merged into Kitami]
-
A.
hasLocalGovernmentHistory
Indicates that an entity has a documented history or record of its local governmental structure, activities, or developments.
-
B.
hasMarketTownHistory
Indicates that an entity has a historical association with functioning as a market town or possessing recognized market-town status in the past.
-
C.
hasHistoricCity
Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
-
D.
hasLocalGovernmentDistrictHistory
chosen
Indicates that an entity is associated with a record or description of the historical development, changes, or past status of a local government district.
-
E.
hasParishHistory
Indicates that an entity possesses or is associated with a documented historical record of a parish.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:18 p.m.