Triple

T28907818
Position Surface form Disambiguated ID Type / Status
Subject Perú station (Line A, Buenos Aires Underground) E733133 entity
Predicate isOneOfOldestStationsOf P30313 FINISHED
Object Buenos Aires Underground 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 | Statement: [Perú station (Line A, Buenos Aires Underground), isOneOfOldestStationsOf, Buenos Aires Underground]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestStationsOf
Context triple: [Perú station (Line A, Buenos Aires Underground), isOneOfOldestStationsOf, Buenos Aires Underground]
  • A. isOneOfOldestStationsInSystem chosen
    Indicates that the station is among the earliest or first-built stations within the entire system.
  • B. oneOfTheOldestOn
    Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
  • C. isOldestAirportIn
    Indicates that an airport is the most ancient or earliest established airport within a specified geographic area or jurisdiction.
  • D. isOldestRailwayIn
    Indicates that a railway is the most ancient or earliest established railway within a specified geographic area or jurisdiction.
  • E. isOneOfOldestFranchisesIn
    Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
  • 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_69f05b096d208190958a57d2e4b5a93a completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 28, 2026, 8:08 a.m.