Triple

T6792765
Position Surface form Disambiguated ID Type / Status
Subject Verbano-Cusio-Ossola E155972 entity
Predicate contains P35 FINISHED
Object Macugnaga E72900 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: Macugnaga | Statement: [Verbano-Cusio-Ossola, contains, Macugnaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macugnaga
Context triple: [Verbano-Cusio-Ossola, contains, Macugnaga]
  • A. Macugnaga chosen
    Macugnaga is a picturesque alpine village in Italy’s Piedmont region, known for its traditional Walser culture and its location at the foot of the Monte Rosa massif.
  • B. Mambajao
    Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
  • C. Mambusao
    Mambusao is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town community life.
  • D. Timugan
    Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2af6f908190809e39b73894e513 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8eaefc819098e848b3012da749 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.