Triple
T36207797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaden |
E1047446
|
entity |
| Predicate | hasServiceToArea |
P13639
|
FINISHED |
| Object | Yamanouchi, Nagano Prefecture |
—
|
NE NERFINISHED |
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: Yamanouchi, Nagano Prefecture | Statement: [Nagaden, hasServiceToArea, Yamanouchi, Nagano Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceToArea Context triple: [Nagaden, hasServiceToArea, Yamanouchi, Nagano Prefecture]
-
A.
hasServiceAreas
chosen
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
B.
hasPrimaryServiceArea
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
C.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
-
D.
hasAreaOfCoverage
Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
-
E.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
Created at: May 3, 2026, 4:09 p.m.