Triple

T19725349
Position Surface form Disambiguated ID Type / Status
Subject KNTU E473711 entity
Predicate hasICAOCode P419 FINISHED
Object KNTU 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: KNTU | Statement: [KNTU, hasICAOCode, KNTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNTU
Context triple: [KNTU, hasICAOCode, KNTU]
  • A. KNTU chosen
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • B. KNT
    KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
  • C. KNT
    KNT is the National Rail station code for Kenton railway station in northwest London, England.
  • D. KNRTU-KAI
    KNRTU-KAI is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
  • E. KNU
    KNU is a leading Ukrainian public research university located in Kyiv, widely regarded as one of the country’s most prestigious higher education institutions.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f7bedc81908f784832c0fc10a1 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.