Triple

T630456
Position Surface form Disambiguated ID Type / Status
Subject Midway International Airport E15913 entity
Predicate hasThreeLetterCode P2569 FINISHED
Object MDW E79068 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: MDW | Statement: [Midway International Airport, hasThreeLetterCode, MDW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDW
Context triple: [Midway International Airport, hasThreeLetterCode, MDW]
  • A. MDW chosen
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • B. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • C. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • D. MTD
    MTD is the public bus transit agency serving the Champaign–Urbana metropolitan area in Illinois.
  • E. WMD
    WMD is the abbreviation commonly used for World Meteorological Day, an annual observance highlighting the importance of meteorology and weather-related sciences.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57403c0208190b3ff497aade61b29 completed March 2, 2026, 11:26 a.m.
Created at: March 1, 2026, 7:35 p.m.