Triple

T21612083
Position Surface form Disambiguated ID Type / Status
Subject Lavapiés E533336 entity
Predicate borderedBy P224 FINISHED
Object La 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: La Latina | Statement: [Lavapiés, borderedBy, La Latina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Latina
Context triple: [Lavapiés, borderedBy, La Latina]
  • A. La Latina chosen
    La Latina is a historic and lively neighborhood in central Madrid known for its narrow medieval streets, tapas bars, and popular Sunday flea market, El Rastro.
  • B. Nagara Latina
    Nagara Latina is a subtype of North Indian Hindu temple architecture characterized by its curvilinear tower (shikhara) rising directly above the sanctum.
  • C. Majadahonda
    Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
  • D. City of Latina
    The City of Latina is a relatively young provincial capital in the Lazio region of central Italy, founded in the 20th century during the reclamation of the Pontine Marshes.
  • E. Cívitas
    Cívitas is a Spanish real estate and urban development company known for its naming-rights sponsorship of Atlético Madrid’s Metropolitano Stadium.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba79424819094e9ee93c4bbcc0b completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.