Triple

T7248690
Position Surface form Disambiguated ID Type / Status
Subject Port Liner E156539 entity
Predicate isPartOf P10 FINISHED
Object Kobe New Transit network E655655 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: Kobe New Transit network | Statement: [Port Liner, isPartOf, Kobe New Transit network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobe New Transit network
Context triple: [Port Liner, isPartOf, Kobe New Transit network]
  • A. Kobe New Transit chosen
    Kobe New Transit is a public transportation company in Kobe, Japan, best known for operating the automated Port Liner and other local transit services.
  • B. Kobe Municipal Subway
    The Kobe Municipal Subway is an urban rapid transit system serving the city of Kobe, Japan, connecting key commercial, residential, and waterfront areas.
  • C. Kobe Rapid Transit Railway
    Kobe Rapid Transit Railway is a Japanese railway company that operates urban rapid transit services in the Kobe area of Hyōgo Prefecture.
  • D. 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.
  • E. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea763f208190af1210cd8d2a05c9 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa6ad54081908a0be2d1f7d6505e completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 2:56 p.m.