Triple

T3875012
Position Surface form Disambiguated ID Type / Status
Subject Caral E92479 entity
Predicate locatedIn P40 FINISHED
Object Barranca Province E100765 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: Barranca Province | Statement: [Caral, locatedIn, Barranca Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barranca Province
Context triple: [Caral, locatedIn, Barranca Province]
  • A. Cautín Province
    Cautín Province is an administrative division in southern Chile’s Araucanía Region, known for its capital city Temuco and its significant Mapuche cultural presence.
  • B. Pacajes Province
    Pacajes Province is an administrative province located in the La Paz Department of western Bolivia, known for its high Andean landscapes and Aymara indigenous communities.
  • C. Canchis Province
    Canchis Province is an administrative division in southern Peru known for its Andean landscapes, traditional Quechua culture, and proximity to important Inca and pre-Inca archaeological sites.
  • D. Tocopilla Province
    Tocopilla Province is an administrative province in northern Chile, located along the Pacific coast within the Antofagasta Region.
  • E. Oyón Province chosen
    Oyón Province is an administrative subdivision in the northern highlands of Peru’s Lima Region, known for its Andean landscapes and mining activities.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec59bea08190b1e193f34944a2ee completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8e6b8848190a2b7951638f53465 completed March 20, 2026, 9:15 p.m.
Created at: March 9, 2026, 3:20 p.m.