Triple

T6147015
Position Surface form Disambiguated ID Type / Status
Subject São José (Recife) E137102 entity
Predicate locatedNear P294 FINISHED
Object Santo Antônio (Recife) E132977 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: Santo Antônio (Recife) | Statement: [São José (Recife), locatedNear, Santo Antônio (Recife)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Antônio (Recife)
Context triple: [São José (Recife), locatedNear, Santo Antônio (Recife)]
  • A. Santo Antônio chosen
    Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
  • B. Vitória de Santo Antão
    Vitória de Santo Antão is a municipality in northeastern Brazil known for its sugarcane-based economy, cachaça production, and colonial-era heritage.
  • C. Torre (Recife)
    Torre is a neighborhood in the city of Recife, Brazil, known for its residential character and proximity to central urban areas.
  • D. Porto do Recife
    Porto do Recife is the historic seaport of Recife, Brazil, serving as a key hub for maritime trade and tourism in the city’s old town district.
  • E. sertão of Paraíba
    The sertão of Paraíba is a semi-arid inland region of the Brazilian state of Paraíba, characterized by its dry climate, scrubby vegetation, and traditional cattle-raising and agricultural communities.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdeeaa88190948d9db6eb2dbf46 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13603730881909b3991c7262509b5 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:16 p.m.