Triple
T19182225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonashiro |
E469602
|
entity |
| Predicate | hasFormerSubdivisionType |
P36805
|
FINISHED |
| Object | town in Nakagami District |
—
|
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: town in Nakagami District | Statement: [Yonashiro, hasFormerSubdivisionType, town in Nakagami District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerSubdivisionType Context triple: [Yonashiro, hasFormerSubdivisionType, town in Nakagami District]
-
A.
hasFormerDivision
Indicates that an entity previously had another entity as one of its internal divisions or sub-units, but no longer does.
-
B.
formerSubdivisionOf
Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
-
C.
hasTypeOfSubdivision
chosen
Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
-
D.
hasSubdivisionSuccessor
Indicates that one administrative or territorial subdivision directly succeeds another in an ordered sequence or historical progression.
-
E.
hasFormerCounty
Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.