Triple
T24697797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 池田 |
E611642
|
entity |
| Predicate | placeLocatedIn |
P40
|
FINISHED |
| Object | Ikeda, Kochi 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: Ikeda, Kochi Prefecture | Statement: [池田, placeLocatedIn, Ikeda, Kochi Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeLocatedIn Context triple: [池田, placeLocatedIn, Ikeda, Kochi Prefecture]
-
A.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
B.
placeFoundedLocatedIn
Indicates that the location where something was founded is situated within a specified place.
-
C.
cityLocatedIn
Indicates that a city is geographically situated within a specified larger administrative or territorial region.
-
D.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 3:22 a.m.