Triple

T8541752
Position Surface form Disambiguated ID Type / Status
Subject Saraguro Kichwa E202213 entity
Predicate locatedIn P40 FINISHED
Object Loja Province E252216 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: Loja Province | Statement: [Saraguro Kichwa, locatedIn, Loja Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loja Province
Context triple: [Saraguro Kichwa, locatedIn, Loja Province]
  • A. Loja Province chosen
    Loja Province is a region in southern Ecuador known for its mountainous landscapes, cultural heritage, and the city of Loja, a historic center of music and the arts.
  • B. Serua Province
    Serua Province is an administrative region on the island of Viti Levu in Fiji, known for its coastal villages, traditional chiefly systems, and mix of rural landscapes.
  • C. Oro Province
    Oro Province is a coastal province in Papua New Guinea known for its mountainous terrain, rich biodiversity, and World War II historical sites.
  • D. Luapula Province
    Luapula Province is a region in northern Zambia known for its significant Bemba population, abundant rivers and lakes, and rich fishing and agricultural activities.
  • E. Malanje Province
    Malanje Province is a central Angolan province known for its Kimbundu-speaking population, agricultural importance, and natural attractions such as the Kalandula Falls.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce891a1fac8190bcae4063b24c760a completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:18 p.m.