Triple

T17372788
Position Surface form Disambiguated ID Type / Status
Subject WFF E422357 entity
Predicate hasIATACode P2569 FINISHED
Object WAL 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: WAL | Statement: [WFF, hasIATACode, WAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAL
Context triple: [WFF, hasIATACode, WAL]
  • A. WAL
    WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
  • B. WAL
    WAL is the National Rail station code for Walton-on-Thames railway station in Surrey, England.
  • C. WAL chosen
    WAL is the IATA airport code for the airfield serving Wallops Island, home to NASA’s Wallops Flight Facility on the eastern shore of Virginia, USA.
  • D. WF-WAL
    WF-WAL is the ISO 3166-2 subdivision code assigned to Wallis (ʻUvea), one of the main island groups of the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • E. wal
    "wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6a9ec881908bfe49413826d37e completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.