Triple
T25798758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeda Station |
E649756
|
entity |
| Predicate | prefectureServed |
P23719
|
FINISHED |
| Object | Kyoto 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: Kyoto Prefecture | Statement: [Takeda Station, prefectureServed, Kyoto Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefectureServed Context triple: [Takeda Station, prefectureServed, Kyoto Prefecture]
-
A.
servesPrefecture
chosen
Indicates that an entity (such as an organization, facility, or service) provides service or coverage to a specified prefecture.
-
B.
prefectureOfHeadquarters
Indicates the administrative prefecture in which an organization's headquarters is located.
-
C.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
D.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
E.
servesProvince
Indicates that one entity (typically an organization, service, or administrative unit) provides service or has jurisdiction over a specified province.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffc9315081908db4a1003153ccf5 |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 6:35 a.m.