Triple

T17368693
Position Surface form Disambiguated ID Type / Status
Subject Ruzyně E422250 entity
Predicate hasAirportICAO P419 FINISHED
Object LKPR E410270 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: LKPR | Statement: [Ruzyně, hasAirportICAO, LKPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LKPR
Context triple: [Ruzyně, hasAirportICAO, LKPR]
  • A. LKPR chosen
    LKPR is the ICAO airport code for Václav Havel Airport Prague, the main international airport serving Prague and the Czech Republic.
  • B. KPRM
    KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
  • C. KPR
    KPR is the vehicle registration code assigned to cars registered in Proszowice County in southern Poland.
  • 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. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6790448190a24047523a019f81 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.