Triple

T20760414
Position Surface form Disambiguated ID Type / Status
Subject United States Air Force Combat Controllers E510962 entity
Predicate abbreviation P43 FINISHED
Object CCT 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: CCT | Statement: [United States Air Force Combat Controllers, abbreviation, CCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CCT
Context triple: [United States Air Force Combat Controllers, abbreviation, CCT]
  • A. CCT
    CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
  • B. CCT chosen
    CCT stands for Combat Control Team, an elite U.S. Air Force special operations unit specializing in air traffic control, fire support, and command and control in hostile or austere environments.
  • C. CCT
    CCT is an international scientific committee under the CIPM that focuses on establishing and improving global standards and methods for temperature measurement.
  • D. CTT
    CTT is the National Rail station code for Church Stretton railway station in Shropshire, England.
  • E. CCH
    CCH is the National Rail station code for Chichester railway station in West Sussex, England.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c248701081908ae49fca933e05f6 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:35 p.m.