Triple
T37060694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 奈良県生駒市 |
E917314
|
entity |
| Predicate | 大阪都心との関係 |
P187292
|
FINISHED |
| Object | 大阪市中心部への通勤圏 |
—
|
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: 大阪市中心部への通勤圏 | Statement: [奈良県生駒市, 大阪都心との関係, 大阪市中心部への通勤圏]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 大阪都心との関係 Context triple: [奈良県生駒市, 大阪都心との関係, 大阪市中心部への通勤圏]
-
A.
distanceFromOsaka
Indicates the measured distance between a given place or object and the city of Osaka.
-
B.
distanceFromUmeda
Indicates the spatial distance between a given location and Umeda.
-
C.
locatedInPrefectureCapitalRegion
Indicates that the subject is geographically situated within the capital region of a given prefecture.
-
D.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
E.
isAssociatedWithPrefecture
Indicates that an entity has a connection or affiliation with a specific prefecture, such as administrative, geographic, or organizational association.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.