Triple

T34401733
Position Surface form Disambiguated ID Type / Status
Subject Avenida Ministro Carranza E882995 entity
Predicate partOfTransportContext P199351 FINISHED
Object Buenos Aires Underground Line D 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: Buenos Aires Underground Line D | Statement: [Avenida Ministro Carranza, partOfTransportContext, Buenos Aires Underground Line D]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfTransportContext
Context triple: [Avenida Ministro Carranza, partOfTransportContext, Buenos Aires Underground Line D]
  • A. isPartOfTransportIn chosen
    Indicates that something functions as a component or element within a specific transport system, vehicle, or mode of transportation.
  • B. hasTransportationContext
    Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
  • C. locatedInTransportArea
    Indicates that an entity is situated within a designated transport-related area or zone.
  • D. transportationContext
    Indicates the situational or environmental conditions under which transportation occurs, such as mode, purpose, or circumstances of travel.
  • E. transportedIn
    Indicates that one entity is carried or conveyed inside another entity as a means of transport.
  • F. None of above.

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_69f349c1304081909331872829e38106 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a00474f08908190bc8ae3b320ec887b completed May 10, 2026, 8:52 a.m.
PD Predicate disambiguation batch_6a0045dc3bd48190a9e0520f3ef3f067 completed May 10, 2026, 8:46 a.m.
Created at: May 1, 2026, 1:59 a.m.