Triple

T1993783
Position Surface form Disambiguated ID Type / Status
Subject Olympic Village (London) E43310 entity
Predicate transportConnection P1298 FINISHED
Object Docklands Light Railway E59714 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: Docklands Light Railway | Statement: [Olympic Village (London), transportConnection, Docklands Light Railway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Docklands Light Railway
Context triple: [Olympic Village (London), transportConnection, Docklands Light Railway]
  • A. Docklands Light Railway chosen
    Docklands Light Railway is an automated light metro system serving the redeveloped Docklands area and parts of East and Southeast London.
  • B. RTA Waterfront Line
    The RTA Waterfront Line is a light rail line in Cleveland, Ohio, that connects downtown with the city's waterfront attractions and nearby neighborhoods.
  • C. Tyne and Wear Metro
    Tyne and Wear Metro is a light rail rapid transit system serving Newcastle upon Tyne, Sunderland, and surrounding areas in North East England.
  • D. Riverside Line
    The Riverside Line is a Metrolink commuter rail route in Southern California that connects Los Angeles with cities in the Inland Empire, including Riverside.
  • E. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of the city.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8640f30819080322bddb85881f1 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033a39d48190b6389e22de0d4418 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.