Triple

T7060890
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 52 E164211 entity
Predicate rollingStock P1305 FINISHED
Object M6 metro trains E262773 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: M6 metro trains | Statement: [Amsterdam Metro line 52, rollingStock, M6 metro trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M6 metro trains
Context triple: [Amsterdam Metro line 52, rollingStock, M6 metro trains]
  • A. M5 metro trains
    M5 metro trains are a modern fleet of high-capacity, low-floor metro vehicles used on the Amsterdam Metro system, designed to improve comfort, accessibility, and efficiency.
  • B. Alstom Metropolis chosen
    Alstom Metropolis is a family of modern, high-capacity metro trains manufactured by Alstom and used in urban rapid transit systems worldwide.
  • C. Alstom Citadis tram
    The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
  • D. Mark VI monorail trains
    Mark VI monorail trains are a fleet of streamlined, automated monorail vehicles introduced in the late 1980s that serve as the primary passenger trains for the Walt Disney World Resort’s elevated transit system.
  • E. Metro Trains
    Metro Trains is a suburban passenger rail service brand operating the metropolitan train network in Melbourne, Australia.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944b4a60819089e565cb895c432f completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:38 p.m.