Triple

T16206935
Position Surface form Disambiguated ID Type / Status
Subject Naha Bus Terminal E393351 entity
Predicate near P350 FINISHED
Object Naha Bus Station area 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 Station area | Statement: [Naha Bus Terminal, near, Naha Bus Station area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naha Bus Station area
Context triple: [Naha Bus Terminal, near, Naha Bus Station area]
  • 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. Sannomiya Bus Terminal
    Sannomiya Bus Terminal is a major transportation hub in Kobe, Japan, serving as a central point for local and long-distance bus services in the Sannomiya district.
  • C. Ayala station
    Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
  • D. La Cisterna bus terminal
    La Cisterna bus terminal is a major intermodal transport hub in the La Cisterna district of Santiago, Chile, serving as a key connection point for urban and intercity bus services.
  • E. 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.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.