Triple

T12878102
Position Surface form Disambiguated ID Type / Status
Subject Praia de Vale do Lobo E308015 entity
Predicate nearbyCity P350 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: [Praia de Vale do Lobo, nearbyCity, Almancil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almancil
Context triple: [Praia de Vale do Lobo, nearbyCity, 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. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.