Triple

T30072053
Position Surface form Disambiguated ID Type / Status
Subject São Bartolomeu da Serra E764210 entity
Predicate locatedInNationalRegion P35846 FINISHED
Object Alentejo region of Portugal 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: Alentejo region of Portugal | Statement: [São Bartolomeu da Serra, locatedInNationalRegion, Alentejo region of Portugal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInNationalRegion
Context triple: [São Bartolomeu da Serra, locatedInNationalRegion, Alentejo region of Portugal]
  • A. locatedInNationCapitalRegion
    Indicates that an entity is situated within the capital region of a specific nation.
  • B. locatedInStateOrRegion
    Indicates that one entity is geographically situated within the boundaries of a specified state or region.
  • C. locatedInSubnationalEntity chosen
    Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
  • D. locatedInNationalCharacterArea
    Indicates that one entity is geographically situated within the boundaries of a specified national character area.
  • E. isInNationalBorderRegion
    Indicates that one entity is located within the national border region or boundary area of another entity.
  • F. None of above.

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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a009d623f6c8190b702e2892c52fbb2 completed May 10, 2026, 2:59 p.m.
PD Predicate disambiguation batch_6a009a3050d48190b64567f28e6ea463 completed May 10, 2026, 2:46 p.m.
Created at: April 29, 2026, 7:01 p.m.