Triple

T17261624
Position Surface form Disambiguated ID Type / Status
Subject Retiro district E419021 entity
Predicate borderedBy P224 FINISHED
Object Centro district E588051 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: Centro district | Statement: [Retiro district, borderedBy, Centro district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro district
Context triple: [Retiro district, borderedBy, 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. 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.
  • D. Retiro district
    Retiro district is a central district of Madrid, Spain, known for encompassing the famous El Retiro Park and several historic neighborhoods.
  • E. Beiro district
    Beiro district is an urban administrative area of Granada, Spain, located near the historic center and known for its mix of residential neighborhoods, university facilities, and local services.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.