Triple

T9977159
Position Surface form Disambiguated ID Type / Status
Subject Federico Lacroze station E196360 entity
Predicate connectsWith P37 FINISHED
Object Urquiza Line E719271 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: Urquiza Line | Statement: [Federico Lacroze station, connectsWith, Urquiza Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urquiza Line
Context triple: [Federico Lacroze station, connectsWith, Urquiza Line]
  • A. Urquiza Line chosen
    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.
  • 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. Roca Line
    The Roca Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city with numerous southern suburbs.
  • D. 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.
  • E. Carretera Austral
    Carretera Austral is a scenic highway in southern Chile that winds through remote Patagonian landscapes of fjords, forests, mountains, and glaciers.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84d0d3c8190b268582bb79c8973 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
Created at: March 30, 2026, 8:48 p.m.