Triple

T17097269
Position Surface form Disambiguated ID Type / Status
Subject Tarma E414880 entity
Predicate isCapitalOf P204 FINISHED
Object Tarma Province 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: Tarma Province | Statement: [Tarma, isCapitalOf, Tarma Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarma Province
Context triple: [Tarma, isCapitalOf, Tarma Province]
  • A. Tarma Province chosen
    Tarma Province is an administrative province in central Peru known for its fertile valleys, mild climate, and role as an agricultural and commercial hub in the Andean highlands.
  • B. Huaral Province
    Huaral Province is an agricultural and coastal province in central Peru known for its fertile valleys, fruit production, and proximity to the capital city of Lima.
  • C. Ingavi Province
    Ingavi Province is a region in Bolivia’s La Paz Department known for encompassing the ancient pre-Columbian city and archaeological site of Tiwanaku.
  • D. Huarochirí Province
    Huarochirí Province is a highland administrative division of Peru’s Lima Region, known for its Andean landscapes, traditional Quechua-speaking communities, and pre-Hispanic cultural heritage.
  • E. Hualgayoc Province
    Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfe92988190aa066745ca9791d5 completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.