Triple

T163974
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Democracy, Human Rights, and Labor E2970 entity
Predicate hasAbbreviation P43 FINISHED
Object DRL E20089 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: DRL | Statement: [Bureau of Democracy, Human Rights, and Labor, hasAbbreviation, DRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DRL
Context triple: [Bureau of Democracy, Human Rights, and Labor, hasAbbreviation, DRL]
  • A. DRL chosen
    DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
  • B. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • C. 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.
  • D. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • E. DCR
    DCR is the Massachusetts state agency responsible for managing and protecting public parks, forests, beaches, and other natural and recreational resources.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db55b2808190bb120e6f266bd26b completed Feb. 28, 2026, 12:11 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.