Triple

T21139950
Position Surface form Disambiguated ID Type / Status
Subject Abbot José Correia da Serra E520903 entity
Predicate placeOfBirth P1 FINISHED
Object Serpa 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: Serpa | Statement: [Abbot José Correia da Serra, placeOfBirth, Serpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serpa
Context triple: [Abbot José Correia da Serra, placeOfBirth, Serpa]
  • A. Serpa chosen
    Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
  • B. Abrantes
    Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
  • C. Vinhais
    Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
  • D. Cordinhã
    Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
  • E. Gouveia
    Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235e389881908813909e05d1413a completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.