Triple

T5591618
Position Surface form Disambiguated ID Type / Status
Subject Hachiko E146890 entity
Predicate waitingLocation P3382 FINISHED
Object Shibuya Station E25657 NE FINISHED

How this triple was built (3 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: Shibuya Station | Statement: [Hachiko, waitingLocation, Shibuya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya Station
Context triple: [Hachiko, waitingLocation, Shibuya Station]
  • A. Shibuya Station chosen
    Shibuya Station is one of Tokyo’s busiest and most important railway hubs, serving multiple train and subway lines and anchoring the famous Shibuya shopping and entertainment district.
  • B. Shinjuku Station
    Shinjuku Station is one of the world’s busiest railway hubs, serving as a major commercial and transportation center in Tokyo, Japan.
  • C. Akasaka Station
    Akasaka Station is a Tokyo Metro subway station in Tokyo’s Minato ward, serving as a key stop on the Chiyoda Line in a major business and entertainment district.
  • D. Harajuku Station
    Harajuku Station is a major railway station in Tokyo’s Shibuya ward, best known as a gateway to the Harajuku fashion district and nearby Meiji Shrine.
  • E. Roppongi Station
    Roppongi Station is a major Tokyo subway station in the Roppongi district, serving as a key access point to the area’s nightlife, business centers, and cultural attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waitingLocation
Context triple: [Hachiko, waitingLocation, Shibuya Station]
  • A. queueLocation
    Indicates the place or position where an entity is arranged to wait in a queue or line.
  • B. hasWaitingArea chosen
    Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
  • C. boarding
    Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with another entity.
  • D. possibleLocation
    Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
  • E. locationStatus
    Indicates the current state or condition of an entity with respect to a specific location (e.g., present, absent, en route, or unknown).
  • F. None of above.

Provenance (4 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a3365c8190bd223226c0a6969f completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
PD Predicate disambiguation batch_69c01b16b9bc8190ab0b945507d90e05 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:38 p.m.