Triple

T6475900
Position Surface form Disambiguated ID Type / Status
Subject 1st SFOD-D E146070 entity
Predicate alsoKnownAs P39 FINISHED
Object CAG E141846 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: CAG | Statement: [1st SFOD-D, alsoKnownAs, CAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAG
Context triple: [1st SFOD-D, alsoKnownAs, CAG]
  • A. CAG chosen
    CAG is an elite, highly secretive U.S. Army special operations unit specializing in counterterrorism, hostage rescue, and high-risk missions worldwide.
  • B. CAG
    CAG is India’s supreme constitutional authority responsible for auditing government revenues and expenditures to ensure accountability and transparency in public financial management.
  • C. KAGC
    KAGC is the ICAO airport code for Allegheny County Airport, a public airport serving the Pittsburgh, Pennsylvania area.
  • D. GACA
    GACA is Saudi Arabia’s national aviation regulator responsible for overseeing civil aviation safety, security, and air transport operations in the country.
  • E. GCA
    GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a49b3bc8190ad80c6ca2dd15c68 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a595b881909e5d3cb781ad5ad4 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:51 p.m.