Triple

T9885752
Position Surface form Disambiguated ID Type / Status
Subject Tamarugal Province E180927 entity
Predicate hasCapital P204 FINISHED
Object Pozo Almonte E178278 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: Pozo Almonte | Statement: [Tamarugal Province, hasCapital, Pozo Almonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pozo Almonte
Context triple: [Tamarugal Province, hasCapital, Pozo Almonte]
  • A. Pozo Almonte chosen
    Pozo Almonte is a small town and commune in northern Chile known as an administrative and service center in the arid Tarapacá desert region.
  • B. Caviahue
    Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
  • C. Alto de las Piedras
    Alto de las Piedras is an archaeological site in Colombia known for its pre-Columbian stone statues and tombs associated with the ancient San Agustín culture.
  • D. Puerto Gaitán
    Puerto Gaitán is a Colombian town and municipality known for its oil production, cattle ranching, and location in the eastern plains (Llanos) region.
  • E. Cutral Có
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eafc76b0819098e481bb17a3af2b completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.