Triple

T18471694
Position Surface form Disambiguated ID Type / Status
Subject Arauco coal basin E451316 entity
Predicate nearCity P350 FINISHED
Object Lota NE NERFINISHED

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: Lota | Statement: [Arauco coal basin, nearCity, Lota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lota
Context triple: [Arauco coal basin, nearCity, Lota]
  • A. Lota
    Lota is the panther-woman character from the 1932 horror film "Island of Lost Souls," portrayed by actress Kathleen Burke.
  • B. Lota chosen
    Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
  • C. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • D. Chamkani
    Chamkani is a Pashtun tribe traditionally associated with the Karlani tribal confederation in the Afghanistan–Pakistan border region.
  • E. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53060ae2c8190bf0821bb0ea5bd59 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.