Triple

T18455920
Position Surface form Disambiguated ID Type / Status
Subject Republican Proposal E450902 entity
Predicate abbreviation P43 FINISHED
Object PRO
PRO is a shorthand term referring to a Republican legislative or policy proposal, often used in political and governmental contexts.
 E1325007 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: PRO | Statement: [Republican Proposal, abbreviation, PRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PRO
Context triple: [Republican Proposal, abbreviation, PRO]
  • A. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • B. Prom
    Prom is a 2011 American teen romantic comedy film that follows a group of high school students as their lives intersect in the lead-up to their prom night.
  • C. PROF
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • D. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • E. Prem
    Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • 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: PRO
Triple: [Republican Proposal, abbreviation, PRO]
Generated description
PRO is a shorthand term referring to a Republican legislative or policy proposal, often used in political and governmental contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PRO
Target entity description: PRO is a shorthand term referring to a Republican legislative or policy proposal, often used in political and governmental contexts.
  • A. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • B. Prom
    Prom is a 2011 American teen romantic comedy film that follows a group of high school students as their lives intersect in the lead-up to their prom night.
  • C. PROF
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • D. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • E. Prem
    Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe7cb0481908266ee813d99cf87 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a04118472a08190b450dfe756475687 completed May 13, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0412b3f2288190a4090ae5363f7d9f completed May 13, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:31 a.m.