Triple

T5647682
Position Surface form Disambiguated ID Type / Status
Subject Osorno Province E124423 entity
Predicate capital P234 FINISHED
Object Osorno E98726 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: Osorno | Statement: [Osorno Province, capital, Osorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osorno
Context triple: [Osorno Province, capital, Osorno]
  • A. Osorno chosen
    Osorno is a city in southern Chile known as an agricultural and commercial hub in the Los Lagos Region, near the Andes and several volcanoes.
  • B. Valle Grande
    Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
  • C. Peñas Blancas
    Peñas Blancas is a border town between Costa Rica and Nicaragua that serves as a major overland crossing point for travelers and freight in Central America.
  • D. Tepehuán
    The Tepehuán are an Indigenous people of northern Mexico known for their distinct language, traditional agriculture, and cultural practices rooted in the rugged highlands of the Sierra Madre Occidental.
  • E. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d1534c8190ac4828e44300fb91 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d88bbf08190b32d1ad157e28fe4 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.