Triple

T21789471
Position Surface form Disambiguated ID Type / Status
Subject municipal government of Pasco E537930 entity
Predicate governsSettlement P760 FINISHED
Object Pasco, Peru NE NERFINISHED

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: Pasco, Peru | Statement: [municipal government of Pasco, governsSettlement, Pasco, Peru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasco, Peru
Context triple: [municipal government of Pasco, governsSettlement, Pasco, Peru]
  • A. Pasco, Peru chosen
    Pasco, Peru is a city in central Peru known for its high-altitude location in the Andes and its historical ties to mining and regional commerce.
  • B. Carabayllo, Peru
    Carabayllo is a populous district in the northern part of Lima, Peru, known for its rapidly growing urban neighborhoods and mix of residential and industrial areas.
  • C. El Paraíso (Peru)
    El Paraíso (Peru) is an ancient preceramic archaeological complex near Lima, notable as one of the earliest large-scale monumental centers in the central Andes.
  • D. Jaén, Peru
    Jaén, Peru is a city in northern Peru’s Cajamarca region known as a commercial and agricultural hub in the Marañón River valley.
  • E. Tumbes
    Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621ed2b481909e3df17aee9cd8f7 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.