Triple

T8181179
Position Surface form Disambiguated ID Type / Status
Subject Subte E191062 entity
Predicate hasStation P35 FINISHED
Object Catedral station E252116 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: Catedral station | Statement: [Subte, hasStation, Catedral station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catedral station
Context triple: [Subte, hasStation, Catedral station]
  • A. Catedral station chosen
    Catedral station is a central Buenos Aires Underground stop located in the city's downtown area, serving as a key access point to major civic and historic sites.
  • B. La Cisterna station
    La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
  • C. Cicero station
    Cicero station is a commuter rail stop in Cicero, Illinois, serving passengers on Metra’s BNSF Railway Line between Chicago and its western suburbs.
  • D. City Square station
    City Square station was a former transit stop in Boston that was decommissioned and superseded by the nearby Community College station on the MBTA Orange Line.
  • E. Consulado station
    Consulado station is a Mexico City Metro station that serves as an interchange between Line 4 and Line 5 in the northeastern part of the city.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4c2e388190b86854f8b1765e61 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf86f8848190a196f7c8d3ad2b36 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.