Triple

T10741571
Position Surface form Disambiguated ID Type / Status
Subject Luas E253338 entity
Predicate operator P179 FINISHED
Object Transdev Dublin Light Rail E365856 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: Transdev Dublin Light Rail | Statement: [Luas, operator, Transdev Dublin Light Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transdev Dublin Light Rail
Context triple: [Luas, operator, Transdev Dublin Light Rail]
  • A. Dublin Luas chosen
    Dublin Luas is a modern light rail tram system serving Dublin, Ireland, providing key urban and suburban public transport across the city.
  • B. DART Light Rail
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • C. Greenway Public Transportation
    Greenway Public Transportation is a regional public transit agency providing bus and demand-response services in and around Newton, North Carolina.
  • D. Dublin Area Rapid Transit
    Dublin Area Rapid Transit (DART) is an electrified suburban rail system serving Dublin and its coastal suburbs along the Irish Sea.
  • E. Dublin Bus
    Dublin Bus is the main public bus operator in Dublin, Ireland, providing extensive urban and suburban services across the city and surrounding areas.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7104446288190800253f8b652f710 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22fc13b0819098caf88328397053 completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.