Triple

T2828165
Position Surface form Disambiguated ID Type / Status
Subject Kyoto Municipal Subway E54972 entity
Predicate connectsWith P37 FINISHED
Object Kyoto City Bus E286075 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: Kyoto City Bus | Statement: [Kyoto Municipal Subway, connectsWith, Kyoto City Bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyoto City Bus
Context triple: [Kyoto Municipal Subway, connectsWith, Kyoto City Bus]
  • A. Kyoto City Bus chosen
    Kyoto City Bus is the municipal bus system of Kyoto, Japan, providing extensive local public transportation throughout the city and its major attractions.
  • B. Kyoto Municipal Subway
    The Kyoto Municipal Subway is an urban rapid transit system serving Kyoto, Japan, providing key north–south and east–west rail connections across the city.
  • C. Kintetsu Kyoto Line
    The Kintetsu Kyoto Line is a major private railway line in Japan connecting Kyoto with Nara and other destinations in the Kansai region.
  • D. Sapporo Streetcar
    Sapporo Streetcar is a tram network in Sapporo, Japan, providing urban public transportation along a loop and branch lines through the city.
  • E. Kobe municipal bus lines
    Kobe municipal bus lines are the city-operated bus network in Kobe, Japan, providing local public transportation across its urban and suburban areas.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb4f3ec8190987afb7a2ac302e2 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.