Triple

T17840024
Position Surface form Disambiguated ID Type / Status
Subject Marañón Province E445498 entity
Predicate partOf P40 FINISHED
Object Huánuco Department E88774 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: Huánuco Department | Statement: [Marañón Province, partOf, Huánuco Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huánuco Department
Context triple: [Marañón Province, partOf, Huánuco Department]
  • A. Huánuco Region chosen
    Huánuco Region is an inland administrative region of central Peru known for its Andean landscapes, rich pre-Columbian history, and agricultural production.
  • B. Mariscal Ramón Castilla Province
    Mariscal Ramón Castilla Province is an Amazonian province in northeastern Peru, known for its vast rainforest landscapes and location along the border with Brazil and Colombia.
  • C. Talara Province
    Talara Province is a coastal administrative division in northwestern Peru known for its oil industry and fishing activities.
  • D. Marañón Province
    Marañón Province is an administrative province located in Peru’s central highland department of Huánuco, known for its Andean geography and rural communities.
  • E. Ayacucho Region
    Ayacucho Region is a highland area in south-central Peru known for its colonial architecture, rich Andean culture, and historical significance in the country’s independence.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a037c23e784819087da9c25290d6a5e completed May 12, 2026, 7:14 p.m.
Created at: April 10, 2026, 10:16 a.m.