Triple

T20569476
Position Surface form Disambiguated ID Type / Status
Subject Renaico E505053 entity
Predicate timezone P109 FINISHED
Object CLT 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: CLT | Statement: [Renaico, timezone, CLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLT
Context triple: [Renaico, timezone, CLT]
  • A. CLT
    CLT is the IATA airport code for Charlotte Douglas International Airport, a major airline hub in Charlotte, North Carolina.
  • B. CLT
    CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
  • C. CLT
    CLT is the National Rail station code for Clacton-on-Sea railway station in Essex, England.
  • D. CLT chosen
    CLT is the standard time zone used in Chile, typically corresponding to UTC−4 hours.
  • E. CLT
    CLT is the station code for Kozhikode railway station, a major rail hub in the Indian state of Kerala.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a4b90c81909854dac72f671eec completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.