Triple

T3552036
Position Surface form Disambiguated ID Type / Status
Subject Nordend E75131 entity
Predicate nearSettlement P3883 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: [Nordend, nearSettlement, Macugnaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macugnaga
Context triple: [Nordend, nearSettlement, 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. 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.
  • C. Timugan
    Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
  • D. 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.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05256f081908b8d6a5df917e679 completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bec437c8190b35ca77dc19d441d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.