Triple

T17325517
Position Surface form Disambiguated ID Type / Status
Subject Quilmes E420675 entity
Predicate railwayLine P848 FINISHED
Object Roca Line E192127 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: Roca Line | Statement: [Quilmes, railwayLine, Roca Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roca Line
Context triple: [Quilmes, railwayLine, Roca Line]
  • A. Roca Line chosen
    The Roca Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city with numerous southern suburbs.
  • B. Sarmiento Line
    The Sarmiento Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city center with western suburbs.
  • C. Belgrano Railway
    Belgrano Railway is a major Argentine railway network, historically known for its extensive narrow-gauge lines connecting northern and central regions of the country.
  • D. Ressano Garcia railway line
    The Ressano Garcia railway line is a key rail corridor in Mozambique that connects the capital city Maputo with the South African border, facilitating regional trade and passenger transport.
  • E. Urquiza Line
    The Urquiza Line is a commuter rail line in Buenos Aires, Argentina, connecting the city with its northwestern suburbs as part of the metropolitan public transport network.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d24e548190a766dd246a4d63d4 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4c2dc08190b60982abc9ac7c9c completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.