Triple

T20773976
Position Surface form Disambiguated ID Type / Status
Subject Polonia International Airport E511308 entity
Predicate formerICAOCode P18649 FINISHED
Object WIMK 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: WIMK | Statement: [Polonia International Airport, formerICAOCode, WIMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIMK
Context triple: [Polonia International Airport, formerICAOCode, WIMK]
  • A. WIMK chosen
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • B. WIM
    WIM is the National Rail station code for Wimbledon railway station in southwest London.
  • 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. WIM PW
    WIM PW is the commonly used abbreviation for the Faculty of Materials Science and Engineering at the Warsaw University of Technology, a leading Polish center for education and research in materials engineering.
  • E. WKM
    WKM is the abbreviated name for the Warszawska Karta Miejska, Warsaw’s electronic public transport card used for storing and validating tickets.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c269638881909d96b847f7de5585 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.