Triple

T17261623
Position Surface form Disambiguated ID Type / Status
Subject Retiro district E419021 entity
Predicate borderedBy P224 FINISHED
Object Moratalaz district E1045563 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: Moratalaz district | Statement: [Retiro district, borderedBy, Moratalaz district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moratalaz district
Context triple: [Retiro district, borderedBy, Moratalaz district]
  • A. Antón District
    Antón District is an administrative district in central Panama known for its agricultural activities, coastal areas, and proximity to popular tourist destinations.
  • B. Arraiján District
    Arraiján District is a rapidly growing suburban district near Panama City, known for its residential developments and role as a key commuter area within Panamá Province.
  • C. Miramor District
    Miramor District is an administrative district located within Daykundi Province in central Afghanistan, known for its predominantly rural communities and mountainous terrain.
  • D. Moratalaz chosen
    Moratalaz is a residential district in the east of Madrid, Spain, known for its grid-like urban layout and numerous parks and green spaces.
  • E. Curado district
    Curado district is a neighborhood-level administrative area within the city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • 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.