Triple

T11558382
Position Surface form Disambiguated ID Type / Status
Subject DM E274070 entity
Predicate hasAbbreviation P43 FINISHED
Object DM 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: DM | Statement: [DM, hasAbbreviation, DM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DM
Context triple: [DM, hasAbbreviation, DM]
  • A. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • B. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • C. DM
    DM is the standard abbreviation for Francisco Suárez’s influential late 16th-century scholastic work *Disputationes metaphysicae*, a foundational text in early modern metaphysics.
  • D. .dm
    .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a888e8481909386009b9603e4d3 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e87953088190b72d0afeb9251535 completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.