Triple

T8223791
Position Surface form Disambiguated ID Type / Status
Subject Roca Line E192127 entity
Predicate hasBranch P35 FINISHED
Object Ezeiza branch E192518 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: Ezeiza branch | Statement: [Roca Line, hasBranch, Ezeiza branch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ezeiza branch
Context triple: [Roca Line, hasBranch, Ezeiza branch]
  • A. Ezeiza chosen
    Ezeiza is a city in the Buenos Aires Province of Argentina, known for hosting the country’s main international airport and serving as a key gateway to the capital.
  • B. Ezeiza International Airport
    Ezeiza International Airport is the main international gateway to Buenos Aires, Argentina, and one of the busiest airports in South America.
  • C. Retiro–Tigre branch
    The Retiro–Tigre branch is a key suburban commuter rail corridor in Greater Buenos Aires, Argentina, linking the central Retiro station with the northern riverside town of Tigre.
  • D. Pateros
    Pateros is the smallest and only landlocked municipality in Metro Manila, Philippines, known for its duck-raising industry and production of balut.
  • E. Argentine Carlini Station
    Argentine Carlini Station is an Argentine Antarctic research base on King George Island focused on scientific studies of the polar environment and climate.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cc351481908d7dcd6d3d15d59f completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6a9c4cc81909d3b25b76e90babf completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:45 p.m.