Triple

T7036132
Position Surface form Disambiguated ID Type / Status
Subject Biobío Province E163388 entity
Predicate containsCity P294 FINISHED
Object Antuco E265475 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: Antuco | Statement: [Biobío Province, containsCity, Antuco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antuco
Context triple: [Biobío Province, containsCity, Antuco]
  • A. Antuco chosen
    Antuco is a stratovolcano in the Chilean Andes known for its symmetrical cone and location within the Southern Volcanic Zone.
  • B. Achacachi
    Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
  • C. Canhabaque
    Canhabaque is one of the islands of Guinea-Bissau’s Bijagós Archipelago, known for its traditional communities and relatively undisturbed natural environment.
  • D. Purén
    Purén is a small town and commune in Chile’s Araucanía Region, known historically for its role in the Arauco War between the Spanish and the Mapuche people.
  • E. Casma
    Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a211f88190afe5ed466abcac7a completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:36 p.m.