Triple

T18382973
Position Surface form Disambiguated ID Type / Status
Subject Taisho-ku E446502 entity
Predicate hasRailwayStation P918 FINISHED
Object Dome-mae Station 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: Dome-mae Station | Statement: [Taisho-ku, hasRailwayStation, Dome-mae Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dome-mae Station
Context triple: [Taisho-ku, hasRailwayStation, Dome-mae Station]
  • A. Dome-mae Station chosen
    Dome-mae Station is a railway station in Osaka, Japan, serving the area around Kyocera Dome Osaka and connecting it to the regional rail network.
  • B. Gaiemmae Station
    Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
  • C. Niog station
    Niog station is a planned southern terminal station of Manila’s LRT Line 1 extension project in the Philippines.
  • D. Mysen Station
    Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
  • E. Maita Station
    Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179c931c8190b1c7c8284f42f7b7 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.