Triple

T22614069
Position Surface form Disambiguated ID Type / Status
Subject Latina District of Madrid E566793 entity
Predicate hasOfficialName P66 FINISHED
Object Latina 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: Latina | Statement: [Latina District of Madrid, hasOfficialName, Latina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latina
Context triple: [Latina District of Madrid, hasOfficialName, Latina]
  • A. Latina
    Latina is a modern Italian city in the Lazio region, known for its rationalist architecture and origins as a planned town founded during the Fascist era.
  • B. Latina chosen
    Latina is a large, historic district in southwestern Madrid known for its traditional neighborhoods, lively tapas scene, and extensive green areas.
  • C. Latina
    "Latina" is a genre-blending music album by Galician bagpiper and pianist Cristina Pato that explores Latin and world music influences through innovative arrangements.
  • D. Parlatino
    Parlatino is a regional parliamentary organization that brings together the legislative bodies of Latin American countries to promote political integration, democracy, and cooperation across the region.
  • E. Mexicana
    Mexicana is a themed area at Chessington World of Adventures that recreates a Wild West-style Mexican frontier town with rides, attractions, and entertainment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ecc7188190bf41fe2177d48e6c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.