Triple

T17045091
Position Surface form Disambiguated ID Type / Status
Subject Santarém District E413546 entity
Predicate hasMunicipality P847 FINISHED
Object Chamusca E374174 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: Chamusca | Statement: [Santarém District, hasMunicipality, Chamusca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamusca
Context triple: [Santarém District, hasMunicipality, Chamusca]
  • A. Chamusca chosen
    Chamusca is a small municipality in central Portugal known for its agricultural landscape and location along the Tagus River.
  • B. Caporales
    Caporales is a vibrant Bolivian folkloric dance characterized by energetic steps, elaborate costumes, and strong rhythmic accompaniment, often performed during religious and cultural festivals.
  • C. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • D. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • E. Valpaços
    Valpaços is a municipality and town in northeastern Portugal known for its wine production, olive oil, and traditional rural landscapes.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.