Triple

T21563106
Position Surface form Disambiguated ID Type / Status
Subject Barrio de Las Letras E532089 entity
Predicate partOf P40 FINISHED
Object Centro District 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: Centro District | Statement: [Barrio de Las Letras, partOf, Centro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro District
Context triple: [Barrio de Las Letras, partOf, Centro District]
  • A. Centro district chosen
    The Centro district is the historic heart of Madrid, encompassing many of the city’s main landmarks, shopping streets, and cultural attractions.
  • B. Prazeres district
    Prazeres district is an urban neighborhood and administrative area within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • C. Chiado neighborhood
    The Chiado neighborhood is a historic and upscale district in central Lisbon known for its elegant shops, theaters, cafés, and vibrant cultural life.
  • D. Santa Leonor District
    Santa Leonor District is an administrative district located within Huaura Province in the Lima Region of Peru, characterized by its rural Andean landscapes and small population.
  • E. Mercado District
    Mercado District is a mixed-use neighborhood in Tucson, Arizona, known for its vibrant public market, local shops, and transit-oriented development near downtown.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e5c3348190b67003e7027efa60 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.