Triple
T26123308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninomiya |
E659033
|
entity |
| Predicate | regionalCenterProximity |
P84435
|
FINISHED |
| Object | near Shōnan urban area |
—
|
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: near Shōnan urban area | Statement: [Ninomiya, regionalCenterProximity, near Shōnan urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalCenterProximity Context triple: [Ninomiya, regionalCenterProximity, near Shōnan urban area]
-
A.
featuresRegionalProximity
Indicates that one entity is located near or in close geographic proximity to a particular region or another entity.
-
B.
hasRegionalCenterNearby
chosen
Indicates that a regional center is located in close proximity to the referenced entity.
-
C.
administrativeCenterDistance
Indicates the distance between an entity and the administrative center that governs or represents it.
-
D.
municipalityCenterDistance
Indicates the distance between an entity and the central point of its corresponding municipality.
-
E.
nearestCityCenterDistance
Indicates the distance from a given location to the closest city center.
- 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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 26, 2026, 8:10 p.m.