Triple

T7606822
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Municipal Airport E180126 entity
Predicate hasFAAcode P420 FINISHED
Object CLT E120855 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: CLT | Statement: [Charlotte Municipal Airport, hasFAAcode, CLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLT
Context triple: [Charlotte Municipal Airport, hasFAAcode, CLT]
  • A. 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.
  • B. CLT chosen
    CLT is the IATA airport code for Charlotte Douglas International Airport, a major airline hub in Charlotte, North Carolina.
  • C. CLVT
    CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
  • D. KCLT
    KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
  • E. CLST
    CLST is the daylight saving time zone used in Chile during the southern hemisphere summer months.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87094139481909858399a082f4a29 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:54 p.m.