Triple

T21558626
Position Surface form Disambiguated ID Type / Status
Subject Concepción transport network E531956 entity
Predicate connects P390 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: [Concepción transport network, connects, Lota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lota
Context triple: [Concepción transport network, connects, Lota]
  • A. Lota chosen
    Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
  • B. Lota
    Lota is the panther-woman character from the 1932 horror film "Island of Lost Souls," portrayed by actress Kathleen Burke.
  • C. Ul Qoma
    Ul Qoma is a fictional Eastern European-style city-state characterized by its overlapping, interwoven existence with the neighboring city of Besźel in China Miéville’s novel "The City & the City."
  • D. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • E. Chamkani
    Chamkani is a Pashtun tribe traditionally associated with the Karlani tribal confederation in the Afghanistan–Pakistan border region.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e21c5c8190aa32795e41f1550e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.