Triple

T5079150
Position Surface form Disambiguated ID Type / Status
Subject Metro line 52 E114471 entity
Predicate usesRollingStock P5426 FINISHED
Object M5 metro trains E172719 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: M5 metro trains | Statement: [Metro line 52, usesRollingStock, M5 metro trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M5 metro trains
Context triple: [Metro line 52, usesRollingStock, M5 metro trains]
  • A. M5 metro trains chosen
    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. M1 trains
    M1 trains are a fleet of modern electric metro trains used on the Prague Metro system, known for their high capacity and air-conditioned, articulated design.
  • C. M5000 tram
    The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
  • 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. Metrocars
    Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f75cf0819088be9e076eaf3168 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb12bd7288190b66ac606aebcabca completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.