Triple

T11955519
Position Surface form Disambiguated ID Type / Status
Subject Soviet state security organs E284541 entity
Predicate hasComponent P35 FINISHED
Object NKGB E41754 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: NKGB | Statement: [Soviet state security organs, hasComponent, NKGB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NKGB
Context triple: [Soviet state security organs, hasComponent, NKGB]
  • A. NKGB chosen
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • B. NKG
    NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern China.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. KBGM
    KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
  • E. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.