Triple

T11403277
Position Surface form Disambiguated ID Type / Status
Subject Azuay Province E270169 entity
Predicate borders P224 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: [Azuay Province, borders, Loja Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loja Province
Context triple: [Azuay Province, borders, 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. Tshuapa Province
    Tshuapa Province is an administrative region in the central Democratic Republic of the Congo characterized by extensive rainforest and a network of rivers that support its largely rural population.
  • C. Huíla Province
    Huíla Province is a southwestern region of Angola known for its highland landscapes, agricultural activity, and the city of Lubango as its capital.
  • D. 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.
  • E. 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.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3470e208190aef43936bac2e4e9 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.