Triple

T10443284
Position Surface form Disambiguated ID Type / Status
Subject Warsaw Modlin Airport E246220 entity
Predicate hasIATACode P2569 FINISHED
Object WMI E246219 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: WMI | Statement: [Warsaw Modlin Airport, hasIATACode, WMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WMI
Context triple: [Warsaw Modlin Airport, hasIATACode, WMI]
  • A. WMI chosen
    WMI is the IATA airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
  • B. WMI and CIM
    WMI and CIM are Windows management technologies that provide standardized interfaces for accessing and controlling system configuration, hardware, and software components.
  • C. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • D. WDS
    WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
  • E. WMC
    WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc43e53081909e14cfe295d17cb2 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:15 p.m.