Triple

T6025276
Position Surface form Disambiguated ID Type / Status
Subject Concourse D E134160 entity
Predicate airportCode P418 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: [Concourse D, airportCode, CLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLT
Context triple: [Concourse D, airportCode, 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11375b4448190ad3087b21ac67329 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.