Triple

T15716683
Position Surface form Disambiguated ID Type / Status
Subject Vasco Gonçalves E380977 entity
Predicate placeOfDeath P21 FINISHED
Object Almancil E195655 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: Almancil | Statement: [Vasco Gonçalves, placeOfDeath, Almancil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almancil
Context triple: [Vasco Gonçalves, placeOfDeath, Almancil]
  • A. Almancil chosen
    Almancil is a town in Portugal’s Algarve region known for its luxury tourism, proximity to exclusive resorts like Quinta do Lago and Vale do Lobo, and traditional Portuguese architecture.
  • B. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • C. Alloga
    Alloga is a healthcare logistics and distribution company specializing in supply chain solutions for the pharmaceutical and healthcare industries.
  • D. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • E. Anguinán
    Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7583609c8190a80421fce649900f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.