Triple

T3912396
Position Surface form Disambiguated ID Type / Status
Subject Asahibashi Station E87352 entity
Predicate near P350 FINISHED
Object Naha Bus Terminal E393351 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: Naha Bus Terminal | Statement: [Asahibashi Station, near, Naha Bus Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naha Bus Terminal
Context triple: [Asahibashi Station, near, Naha Bus Terminal]
  • A. Naha Bus Terminal chosen
    Naha Bus Terminal is a major public transportation hub in Naha, Okinawa, serving as a central point for local and intercity bus services.
  • B. Sasang Intercity Bus Terminal
    Sasang Intercity Bus Terminal is a major intercity bus station in Busan, South Korea, providing regional and long-distance bus connections to cities across the country.
  • C. Sete Rios bus terminal
    Sete Rios bus terminal is a major intercity and regional bus hub in Lisbon, Portugal, providing connections to destinations across the country and beyond.
  • D. San Fernando bus terminal
    San Fernando bus terminal is a central public transportation hub where buses arrive, depart, and connect passengers to various local and regional destinations.
  • E. City Centre Transit Terminal
    City Centre Transit Terminal is a major bus transit hub in Mississauga, Ontario, serving as a key interchange point for MiWay routes and regional connections.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed37b19c81908e690c495d96607f completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285851248190a18cea371aacbc49 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.