Triple

T5360348
Position Surface form Disambiguated ID Type / Status
Subject Democratic Republic of Afghanistan E103004 entity
Predicate shortName P43 FINISHED
Object DRA
DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
 E514544 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: DRA | Statement: [Democratic Republic of Afghanistan, shortName, DRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DRA
Context triple: [Democratic Republic of Afghanistan, shortName, DRA]
  • A. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • B. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • C. DR
    DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
  • D. Drafi
    Drafi is a settlement located on the slopes of Mount Pentelicus in the Attica region of Greece.
  • E. DA
    DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
  • 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: DRA
Triple: [Democratic Republic of Afghanistan, shortName, DRA]
Generated description
DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DRA
Target entity description: DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • A. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • B. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • C. DR
    DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
  • D. Drafi
    Drafi is a settlement located on the slopes of Mount Pentelicus in the Attica region of Greece.
  • E. DA
    DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ec83b88190abc227d93b4c1c49 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf25cac6d48190ab3155c667e19484 completed March 21, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69bf264cb0c08190a92e53441ac937a3 completed March 21, 2026, 11:14 p.m.
Created at: March 20, 2026, 2:02 p.m.