Triple
T37060693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 奈良県生駒市 |
E917314
|
entity |
| Predicate | 県庁所在地との関係 |
P93541
|
FINISHED |
| Object | 奈良市の北西に位置する |
—
|
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: 奈良市の北西に位置する | Statement: [奈良県生駒市, 県庁所在地との関係, 奈良市の北西に位置する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 県庁所在地との関係 Context triple: [奈良県生駒市, 県庁所在地との関係, 奈良市の北西に位置する]
-
A.
associatedWithCountySeat
chosen
Indicates that an entity has a relationship or connection to a county’s administrative center or county seat.
-
B.
hasCountySeatRelation
Indicates that a specific place serves as the county seat (administrative center) of a particular county.
-
C.
hasMunicipalRelationshipWith
Indicates a formal or functional connection between two municipalities, such as cooperation, partnership, or administrative association.
-
D.
locatedInCountySeatOfCounty
Indicates that one entity is located in the county seat city or town of the specified county.
-
E.
countySeatRegionRelation
Indicates that a region serves as the county seat (administrative center) for a given county.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.