Triple

T5903986
Position Surface form Disambiguated ID Type / Status
Subject Division of Regional Operations E131294 entity
Predicate hasAcronym P43 FINISHED
Object DRO E131294 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: DRO | Statement: [Division of Regional Operations, hasAcronym, DRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DRO
Context triple: [Division of Regional Operations, hasAcronym, DRO]
  • A. DRO chosen
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • B. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • C. DRPT
    DRPT is the state agency in Virginia responsible for planning, funding, and improving passenger and freight rail, public transit, and commuter services.
  • D. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • E. DOR
    DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037376d5c8190a0a8457e07bebea8 completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b166b0bc8190a201899cf45a9b31 completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.