Triple

T15568785
Position Surface form Disambiguated ID Type / Status
Subject Penela E374183 entity
Predicate near P350 FINISHED
Object Miranda do Corvo E374166 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: Miranda do Corvo | Statement: [Penela, near, Miranda do Corvo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda do Corvo
Context triple: [Penela, near, Miranda do Corvo]
  • A. Miranda do Corvo chosen
    Miranda do Corvo is a municipality and town in central Portugal known for its scenic setting near the Serra da Lousã and its traditional rural character.
  • B. Sertã
    Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
  • C. Dão-Lafões
    Dão-Lafões is a subregion in central Portugal known for its mountainous landscapes, thermal spas, and production of Dão wines.
  • D. Porto Covo
    Porto Covo is a small coastal village in Portugal’s Alentejo region, known for its picturesque beaches, rugged cliffs, and traditional whitewashed houses.
  • E. Ilhéu das Rolas
    Ilhéu das Rolas is a small tropical island off the southern tip of São Tomé, notable for being crossed by the equator and for its beaches and ecotourism.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.