Triple

T4909329
Position Surface form Disambiguated ID Type / Status
Subject Line 9 (Mexico City Metro) E110193 entity
Predicate hasStation P35 FINISHED
Object Patriotismo E226646 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: Patriotismo | Statement: [Line 9 (Mexico City Metro), hasStation, Patriotismo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patriotismo
Context triple: [Line 9 (Mexico City Metro), hasStation, Patriotismo]
  • A. Patriotismo chosen
    Patriotismo is a Mexico City Metro station that serves the Patriotismo Avenue corridor and provides access to neighborhoods such as Condesa and Escandón.
  • B. Ducit Amor Patriae
    Ducit Amor Patriae is a Latin motto meaning "Love of country leads me," expressing a strong sense of patriotic duty and devotion.
  • C. Our Fatherland
    "Our Fatherland" is the English title of "Mer Hayrenik," the national anthem of Armenia.
  • D. Patria Una (One Fatherland)
    Patria Una (One Fatherland) is the traditional Latin motto expressing the unity and shared homeland of the Samogitian region of Lithuania.
  • E. Patriot
    Patriot is a steel floorless roller coaster at California’s Great America known for its inversions and smooth, looping layout.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe098b081908e17d6d349b76364 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.