Triple

T15304255
Position Surface form Disambiguated ID Type / Status
Subject Dublin Luas E365856 entity
Predicate rollingStock P1305 FINISHED
Object Alstom Citadis trams E74358 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: Alstom Citadis trams | Statement: [Dublin Luas, rollingStock, Alstom Citadis trams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alstom Citadis trams
Context triple: [Dublin Luas, rollingStock, Alstom Citadis trams]
  • A. Alstom Citadis tram chosen
    The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
  • B. Alstom Eurotram
    The Alstom Eurotram is a distinctive low-floor light rail vehicle known for its sleek, modern design and panoramic windows, widely used on urban tram networks in Europe.
  • C. Bombardier Cityrunner trams
    Bombardier Cityrunner trams are a family of low-floor, modern light rail vehicles designed for urban public transport systems in various cities worldwide.
  • D. CAF Urbos 3 trams
    CAF Urbos 3 trams are modern low-floor light rail vehicles manufactured by CAF and used in urban tram and light rail systems worldwide.
  • E. Alstom Metropolis
    Alstom Metropolis is a family of modern, high-capacity metro trains manufactured by Alstom and used in urban rapid transit systems worldwide.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.