Triple

T20463673
Position Surface form Disambiguated ID Type / Status
Subject Laagri E501992 entity
Predicate servedBy P82 FINISHED
Object Elron commuter trains NE NERFINISHED

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: Elron commuter trains | Statement: [Laagri, servedBy, Elron commuter trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elron commuter trains
Context triple: [Laagri, servedBy, Elron commuter trains]
  • A. Zephyr passenger trains
    Zephyr passenger trains were a celebrated fleet of streamlined, diesel-powered passenger trains in the United States that became icons of speed, modern design, and innovation in mid-20th-century rail travel.
  • B. Voyager trains
    Voyager trains are a family of high-speed diesel-electric multiple unit passenger trains widely used on intercity services in the UK rail network.
  • C. Trensurb metropolitan train
    The Trensurb metropolitan train is an urban rail transit system serving the Porto Alegre metropolitan region in Rio Grande do Sul, Brazil.
  • D. EMU train chosen
    An EMU train is an Electric Multiple Unit passenger train in which each carriage is powered, commonly used for high-frequency suburban and commuter rail services.
  • E. Biotrén commuter rail
    Biotrén commuter rail is a suburban passenger train system serving the Greater Concepción metropolitan area in Chile, connecting key urban and outlying communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a88374819087e7b97c83074d2c completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.