Triple

T5827896
Position Surface form Disambiguated ID Type / Status
Subject JR Kobe Station E129273 entity
Predicate locatedInDistrict P40 FINISHED
Object Chuo-ku, Kobe E150996 NE 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: Chuo-ku, Kobe | Statement: [JR Kobe Station, locatedInDistrict, Chuo-ku, Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuo-ku, Kobe
Context triple: [JR Kobe Station, locatedInDistrict, Chuo-ku, Kobe]
  • A. Chuo-ku, Kobe chosen
    Chuo-ku, Kobe is the central ward of Kobe, Japan, known as the city’s main commercial, administrative, and entertainment district.
  • B. Higashinada-ku, Kobe
    Higashinada-ku, Kobe is a coastal ward in eastern Kobe, Japan, known for its residential districts, sake breweries, and man-made islands such as Rokkō Island.
  • C. Chuo-ku, Osaka
    Chuo-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and entertainment hub.
  • D. Jōtō-ku, Osaka
    Jōtō-ku, Osaka is a residential and commercial ward in northeastern Osaka City known for its dense urban neighborhoods and convenient rail connections to central Osaka.
  • E. Nishi-ku, Osaka
    Nishi-ku, Osaka is a central ward of Osaka City known for its mix of commercial districts, residential areas, and major venues such as the Kyocera Dome.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341df8dc8190871af068e1f927a2 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0e85cbc8190ad75d4a8246fbe43 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:53 p.m.