Triple

T5494658
Position Surface form Disambiguated ID Type / Status
Subject ENG E144181 entity
Predicate distinctFrom P1612 FINISHED
Object WAL E330091 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: WAL | Statement: [ENG, distinctFrom, WAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAL
Context triple: [ENG, distinctFrom, WAL]
  • A. WAL chosen
    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 ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • C. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • D. WLA
    WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • E. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b8c05ac8190999f84c33719d794 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0277e577481909f1559082e482995 completed March 22, 2026, 5:31 p.m.
Created at: March 22, 2026, 3:31 p.m.