Triple

T18908256
Position Surface form Disambiguated ID Type / Status
Subject LKHK E462524 entity
Predicate hasICAOCode P419 FINISHED
Object LKHK 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: LKHK | Statement: [LKHK, hasICAOCode, LKHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LKHK
Context triple: [LKHK, hasICAOCode, LKHK]
  • A. LKHK chosen
    LKHK is the ICAO airport code for Hradec Králové Airport in the Czech Republic.
  • B. KLHK
    KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
  • C. LGKR
    LGKR is the ICAO airport code for Corfu International Airport, which serves the Greek island of Corfu.
  • D. LKP
    LKP was a Dutch World War II resistance organization composed of armed groups that carried out sabotage, raids, and support operations against the German occupation.
  • E. QLK
    QLK is the ICAO airline designator used for QantasLink, the regional brand of Australian airline Qantas.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52eed1881908929dace845ae008 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.