Triple

T4481829
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Mexico City Metro) E100151 entity
Predicate station P726 FINISHED
Object Tasqueña E226659 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: Tasqueña | Statement: [Line 2 (Mexico City Metro), station, Tasqueña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tasqueña
Context triple: [Line 2 (Mexico City Metro), station, Tasqueña]
  • A. Tasqueña chosen
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • B. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • C. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65140f9a08190856442534ff46e37 completed March 15, 2026, 6:27 a.m.
Created at: March 12, 2026, 11:36 p.m.