Triple

T1283797
Position Surface form Disambiguated ID Type / Status
Subject Monte Patria E27386 entity
Predicate locatedIn P40 FINISHED
Object Limarí Province E3666 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: Limarí Province | Statement: [Monte Patria, locatedIn, Limarí Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limarí Province
Context triple: [Monte Patria, locatedIn, Limarí Province]
  • A. Limarí Province chosen
    Limarí Province is an administrative division in north-central Chile known for its semi-arid climate, agriculture, and pisco-producing valleys.
  • B. Huasco Province
    Huasco Province is an administrative division in northern Chile known for its mining activities, agriculture, and coastal desert landscapes within the Atacama Region.
  • C. Malleco Province
    Malleco Province is an administrative division in southern Chile known for its agricultural activities, forests, and Mapuche cultural presence.
  • D. Puno Region
    Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
  • E. Cañete Province
    Cañete Province is an administrative division in central coastal Peru known for its agricultural production, Afro-Peruvian cultural heritage, and location along the Cañete River and Pacific Ocean.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b599ac819096fca9ada294d939 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231d1bdc8190bceaafcf86544bf1 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:50 p.m.