Triple

T3609033
Position Surface form Disambiguated ID Type / Status
Subject Beira Litoral E76438 entity
Predicate includesCity P3207 FINISHED
Object Alvaiázere E374169 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: Alvaiázere | Statement: [Beira Litoral, includesCity, Alvaiázere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvaiázere
Context triple: [Beira Litoral, includesCity, Alvaiázere]
  • A. Alvaiázere chosen
    Alvaiázere is a small municipality in central Portugal known for its rural landscape, chestnut and olive production, and traditional Portuguese village character.
  • B. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • C. León de Greiff
    León de Greiff was a prominent 20th-century Colombian poet known for his innovative, baroque style and significant influence on Latin American literature.
  • D. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • E. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f02b3c081909705e05ac923f840 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:22 p.m.