Triple

T15837057
Position Surface form Disambiguated ID Type / Status
Subject Argüelles neighborhood E384010 entity
Predicate adjacentTo 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: [Argüelles neighborhood, adjacentTo, Centro district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro district
Context triple: [Argüelles neighborhood, adjacentTo, 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. Ciutat Vella district
    Ciutat Vella district is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and dense concentration of cultural and tourist landmarks.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e1fcd48190bcb884f6c65db847 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13a83448190adcad8bb84622e55 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.