Triple

T16703069
Position Surface form Disambiguated ID Type / Status
Subject DAF E405896 entity
Predicate acronym P43 FINISHED
Object DAF unclear NED1 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: DAF | Statement: [DAF, acronym, DAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAF
Context triple: [DAF, acronym, DAF]
  • A. DAF
    DAF is the acronym for the German Labour Front, the Nazi-era organization that replaced trade unions in Germany and controlled workers and employers under a state-run labor system.
  • B. DAF
    DAF is the OECD’s Directorate for Financial and Enterprise Affairs, responsible for developing international policies and standards on finance, corporate governance, competition, and investment.
  • C. DAF
    DAF (Deutsch Amerikanische Freundschaft) is a pioneering German electronic body music band known for its minimalist, aggressive sound and significant influence on industrial and electronic dance music.
  • D. DAF
    DAF is the commonly used abbreviation for the Desert Air Force, a British Commonwealth tactical air force that operated in the North African and Mediterranean theaters during World War II.
  • E. DAF Trucks
    DAF Trucks is a Dutch manufacturer of commercial vehicles and heavy-duty trucks known for its reliable long-haul and distribution trucks across Europe and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.