Triple

T11934392
Position Surface form Disambiguated ID Type / Status
Subject Sendagi E284000 entity
Predicate transportAccess P1288 FINISHED
Object Sendagi 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: Sendagi Station | Statement: [Sendagi, transportAccess, Sendagi Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sendagi Station
Context triple: [Sendagi, transportAccess, Sendagi Station]
  • A. Sendagi Station chosen
    Sendagi Station is a Tokyo Metro subway station in Bunkyō, Tokyo, serving the Chiyoda Line near the traditional Yanaka–Nezu–Sendagi district.
  • B. Sendagaya Station
    Sendagaya Station is a railway station in Shibuya, Tokyo, serving as a local transit hub near major sports and cultural facilities such as the National Stadium.
  • C. Toda Station
    Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
  • D. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • E. Hadano Station
    Hadano Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local transit hub on the Odakyu Odawara Line.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
Created at: April 8, 2026, 9:45 p.m.