Triple

T9299661
Position Surface form Disambiguated ID Type / Status
Subject Guarda District E223725 entity
Predicate containsTown P847 FINISHED
Object Pinhel E374161 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: Pinhel | Statement: [Guarda District, containsTown, Pinhel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinhel
Context triple: [Guarda District, containsTown, Pinhel]
  • A. Pinhel chosen
    Pinhel is a historic municipality and city in central Portugal known for its medieval castle and well-preserved old town.
  • B. Carcavelos
    Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
  • C. Caldas de Monchique
    Caldas de Monchique is a small spa village in Portugal’s Algarve region, renowned for its thermal springs and scenic mountain setting.
  • D. Monção
    Monção is a historic town and municipality in northern Portugal, known for its fortified medieval center and production of Vinho Verde wines along the Minho River.
  • E. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d070c881908bed41aada6f85ae completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0c77b8bf481909c5abf6523f75b2c completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.