Triple

T15934099
Position Surface form Disambiguated ID Type / Status
Subject Chaves Municipality E386394 entity
Predicate contains P35 FINISHED
Object Termas de Chaves E1172731 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: Termas de Chaves | Statement: [Chaves Municipality, contains, Termas de Chaves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Termas de Chaves
Context triple: [Chaves Municipality, contains, Termas de Chaves]
  • A. Termas de Chaves chosen
    Termas de Chaves is a historic thermal spa complex in Chaves, Portugal, renowned for its mineral-rich hot springs and therapeutic treatments.
  • B. Celorico de Basto
    Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
  • C. Idanha-a-Velha
    Idanha-a-Velha is a historic village in central Portugal renowned for its well-preserved Roman and medieval archaeological remains.
  • D. Alcácer do Sal
    Alcácer do Sal is a historic riverside town in Portugal’s Alentejo region, known for its medieval castle and long-standing connection to salt production.
  • E. Cabeceiras de Basto
    Cabeceiras de Basto is a small municipality in northern Portugal known for its rural landscapes, traditional Minho architecture, and cultural heritage.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a7bdd88190b1d7349ef920fd06 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.