Triple

T17568935
Position Surface form Disambiguated ID Type / Status
Subject Key-Value Observing E427885 entity
Predicate alsoKnownAs P39 FINISHED
Object KVO 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: KVO | Statement: [Key-Value Observing, alsoKnownAs, KVO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVO
Context triple: [Key-Value Observing, alsoKnownAs, KVO]
  • A. KVO
    KVO is the IATA airport code for Morava Airport, a regional airport serving the city of Kraljevo in central Serbia.
  • B. Key-Value Observing chosen
    Key-Value Observing is an Objective-C and Swift mechanism that lets objects be notified and react when specific properties of other objects change.
  • C. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • D. KVG
    KVG is the three-letter IATA airport code assigned to Kavieng Airport in Papua New Guinea.
  • E. KVCV
    KVCV is the ICAO airport code for Southern California Logistics Airport, a major cargo and aircraft maintenance facility located in Victorville, California.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.