Triple

T163973
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Democracy, Human Rights, and Labor E2970 entity
Predicate shortName P43 FINISHED
Object DRL
DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
 E20089 NE FINISHED

How this triple was built (4 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, shortName, 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, shortName, DRL]
  • A. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • B. 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.
  • C. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • D. DCR
    DCR is the Massachusetts state agency responsible for managing and protecting public parks, forests, beaches, and other natural and recreational resources.
  • E. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DRL
Triple: [Bureau of Democracy, Human Rights, and Labor, shortName, DRL]
Generated description
DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DRL
Target entity description: DRL is the U.S. State Department bureau responsible for promoting democracy, protecting human rights, and advancing labor rights worldwide.
  • A. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • B. 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.
  • C. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • D. DCR
    DCR is the Massachusetts state agency responsible for managing and protecting public parks, forests, beaches, and other natural and recreational resources.
  • E. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • F. None of above. chosen

Provenance (5 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_69a2d7343fc08190810b11d205e41d9a completed Feb. 28, 2026, 11:53 a.m.
NEDg Description generation batch_69a2d85fc61c8190bb296df96fff2884 completed Feb. 28, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_69a2d8c00e048190806f991b4864763e completed Feb. 28, 2026, noon
Created at: Feb. 28, 2026, 2:34 a.m.