Triple

T17120423
Position Surface form Disambiguated ID Type / Status
Subject VBZ tram system E415449 entity
Predicate hasRollingStockType P1305 FINISHED
Object Cobra tram E452073 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: Cobra tram | Statement: [VBZ tram system, hasRollingStockType, Cobra tram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobra tram
Context triple: [VBZ tram system, hasRollingStockType, Cobra tram]
  • A. Cobra trams chosen
    Cobra trams are a modern low-floor tram type used in the Bern tram network, known for their articulated design and improved passenger accessibility.
  • B. T-68 tram
    The T-68 tram was a type of light rail vehicle used on Greater Manchester’s Metrolink system in the UK before being replaced by newer models.
  • C. Monorail
    The Monorail is a single-rail elevated transit system often used as a futuristic urban transport and fairground attraction.
  • D. Alweg Monorail
    The Alweg Monorail is an elevated monorail system in Seattle that became an iconic symbol of mid-20th-century futuristic transportation design.
  • E. SL95 tram
    The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8092b548190b45c1695be47edc2 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0e11108190bfcf858142aa9ff3 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.