Triple
T6084626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyu 5050 series |
E135605
|
entity |
| Predicate | usedInPrefecture |
P23719
|
FINISHED |
| Object | Kanagawa 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: Kanagawa Prefecture | Statement: [Tokyu 5050 series, usedInPrefecture, Kanagawa Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInPrefecture Context triple: [Tokyu 5050 series, usedInPrefecture, Kanagawa Prefecture]
-
A.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
B.
servesPrefecture
chosen
Indicates that an entity (such as an organization, facility, or service) provides service or coverage to a specified prefecture.
-
C.
locatedInPrefectureLevelCity
Indicates that one entity is geographically situated within the jurisdiction or boundaries of a prefecture-level city.
-
D.
homePrefecture
Indicates the prefecture that an entity considers its home or place of origin.
-
E.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057891dc88190997c4e32b2261fb3 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.