Triple

T21310373
Position Surface form Disambiguated ID Type / Status
Subject Osaka Metro Nankō Port Town Line E525315 entity
Predicate formerName P65 FINISHED
Object New Tram NE NERFINISHED

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: New Tram | Statement: [Osaka Metro Nankō Port Town Line, formerName, New Tram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Tram
Context triple: [Osaka Metro Nankō Port Town Line, formerName, New Tram]
  • A. New Tram chosen
    New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
  • B. Tram 18
    Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
  • C. Tram 2000
    Tram 2000 is a series of articulated light rail vehicles used for urban public transport in Zürich, Switzerland.
  • D. New Tram Nankō Port Town Line
    The New Tram Nankō Port Town Line is an automated guideway transit line in Osaka, Japan, serving the Nankō (South Port) area with rubber-tired, driverless trains.
  • E. McNamara Terminal ExpressTram
    The McNamara Terminal ExpressTram is an automated people mover system that transports passengers along the length of the McNamara Terminal at Detroit Metropolitan Wayne County Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aab14f08190949e1407eb2b3e67 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:09 p.m.