Triple
T34320804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamadōri |
E880729
|
entity |
| Predicate | oneOfThreeMainRegionsOf |
P55705
|
FINISHED |
| Object | Fukushima 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: Fukushima Prefecture | Statement: [Hamadōri, oneOfThreeMainRegionsOf, Fukushima Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfThreeMainRegionsOf Context triple: [Hamadōri, oneOfThreeMainRegionsOf, Fukushima Prefecture]
-
A.
oneOfFourMainRegionsOf
Indicates that something is one of the four primary regions into which another entity is divided.
-
B.
oneOfThreeMainDistrictsOf
chosen
Indicates that an entity is one of the three primary administrative or geographic districts that collectively make up another entity.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
primaryRegionDepicted
Indicates that a resource primarily depicts or visually represents a particular geographic or spatial region as its main subject.
-
E.
coreRegionOf
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.