Triple

T5104393
Position Surface form Disambiguated ID Type / Status
Subject Kizugawa, Japan E115054 entity
Predicate hasMajorStation P1071 FINISHED
Object Kamo Station E842902 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: Kamo Station | Statement: [Kizugawa, Japan, hasMajorStation, Kamo Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamo Station
Context triple: [Kizugawa, Japan, hasMajorStation, Kamo Station]
  • A. Kamo Station chosen
    Kamo Station is a railway station in Kizugawa, Kyoto Prefecture, Japan, serving as a key junction and endpoint for regional rail services in the area.
  • B. Shuri Station
    Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
  • C. Juso Station
    Juso Station is a major railway hub in Osaka, Japan, serving as a key junction for multiple Hankyu Railway lines and providing convenient access to central Osaka and surrounding areas.
  • D. Nippori Station
    Nippori Station is a major railway hub in Tokyo’s Arakawa ward, serving multiple JR lines and the Keisei Skyliner with convenient access to both central Tokyo and Narita Airport.
  • E. Minoh Station
    Minoh Station is a railway station in Minoh, Osaka Prefecture, Japan, serving as a local transit hub for passengers visiting the surrounding suburban and natural attractions.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7588c1cc81909d380f91ee214808 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f489b62b808190a3fc89e73e8ae2f7 completed May 1, 2026, 11:08 a.m.
Created at: March 20, 2026, 1:41 p.m.