Triple
T34607790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajikazawa in Kai Province |
E888641
|
entity |
| Predicate | subjectProvince |
P69588
|
FINISHED |
| Object | Kai Province |
—
|
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: Kai Province | Statement: [Kajikazawa in Kai Province, subjectProvince, Kai Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectProvince Context triple: [Kajikazawa in Kai Province, subjectProvince, Kai Province]
-
A.
baseProvince
Indicates that one administrative or territorial unit serves as the primary or originating province associated with another entity.
-
B.
sourceProvince
chosen
Indicates the province from which something or someone originates or is sourced.
-
C.
destinationProvince
Indicates the province that serves as the endpoint or target location of a movement, transfer, or route.
-
D.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
-
E.
exportProvince
Indicates the province from which goods, services, or resources are exported.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 1, 2026, 2:03 a.m.