Triple

T21583372
Position Surface form Disambiguated ID Type / Status
Subject Arab British Dynamics Company E532575 entity
Predicate abbreviation P43 FINISHED
Object ABD 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: ABD | Statement: [Arab British Dynamics Company, abbreviation, ABD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABD
Context triple: [Arab British Dynamics Company, abbreviation, ABD]
  • A. ABD chosen
    ABD is the abbreviation for Arab British Dynamics Company, a defense and aerospace manufacturer based in the Arab world with British collaboration.
  • B. ABD
    ABD is the three-letter National Rail station code used to identify Aberdeen railway station in Scotland.
  • C. ABDA
    ABDA was the abbreviation for the short-lived World War II Allied military command formed by American, British, Dutch, and Australian forces to defend Southeast Asia and the Southwest Pacific against Japan.
  • D. ABU
    ABU is the camouflage combat uniform formerly worn by United States Air Force personnel.
  • E. AUSA
    AUSA is the abbreviated name of Almacenes Universales S.A., a commercial company likely involved in warehousing, logistics, or retail operations.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5e45b48190a52346f6484c6f84 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.