Triple

T34538066
Position Surface form Disambiguated ID Type / Status
Subject Ebina Service Area E886724 entity
Predicate hasNearbyPrefectureCapital P60387 FINISHED
Object Yokohama 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: Yokohama | Statement: [Ebina Service Area, hasNearbyPrefectureCapital, Yokohama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyPrefectureCapital
Context triple: [Ebina Service Area, hasNearbyPrefectureCapital, Yokohama]
  • A. prefectureCapitalNearby chosen
    Indicates that a prefecture’s capital city is geographically close to the referenced location.
  • B. hasNearbyPrefecture
    Indicates that one administrative region has another prefecture located geographically close to it.
  • C. isInPrefecturalCapital
    Indicates that one entity is located within the administrative boundaries of a prefectural capital city.
  • D. isNearCapitalCity
    Indicates that an entity is located close to, or in the immediate vicinity of, a capital city.
  • E. prefectureCapitalDistance
    Indicates the distance between a prefecture and its designated capital city.
  • 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_69f349ce5eb881909e431c670944aa68 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ffde9263248190996f970b6cf6e49d completed May 10, 2026, 1:25 a.m.
PD Predicate disambiguation batch_69ffdd760f1c8190abc6c0c1cd97ba5f completed May 10, 2026, 1:20 a.m.
Created at: May 1, 2026, 2:02 a.m.