Triple

T22358351
Position Surface form Disambiguated ID Type / Status
Subject Panel on Public Affairs E552714 entity
Predicate shortName P43 FINISHED
Object POPA
POPA is an advisory body focused on analyzing and providing guidance on public policy issues related to science and technology.
 E1533008 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: POPA | Statement: [Panel on Public Affairs, shortName, POPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: POPA
Context triple: [Panel on Public Affairs, shortName, POPA]
  • A. Popa
    Popa is a town located in Ogooué-Lolo Province in central-eastern Gabon.
  • B. Popo
    Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
  • C. Papp
    Papp is a Hungarian surname most famously associated with László Papp, a legendary three-time Olympic boxing champion.
  • D. Poppe
    Poppe is a surname of Germanic origin borne by various notable individuals across different fields.
  • E. PoP
    PoP is the commonly used abbreviation for the Pride of Performance, a prestigious civil award bestowed by the Government of Pakistan for outstanding achievements in various fields.
  • 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: POPA
Triple: [Panel on Public Affairs, shortName, POPA]
Generated description
POPA is an advisory body focused on analyzing and providing guidance on public policy issues related to science and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: POPA
Target entity description: POPA is an advisory body focused on analyzing and providing guidance on public policy issues related to science and technology.
  • A. Popa
    Popa is a town located in Ogooué-Lolo Province in central-eastern Gabon.
  • B. Popo
    Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
  • C. Papp
    Papp is a Hungarian surname most famously associated with László Papp, a legendary three-time Olympic boxing champion.
  • D. Poppe
    Poppe is a surname of Germanic origin borne by various notable individuals across different fields.
  • E. PoP
    PoP is the commonly used abbreviation for the Pride of Performance, a prestigious civil award bestowed by the Government of Pakistan for outstanding achievements in various fields.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d1a87c8190a3e195cfbbb0d64f completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae05fed7c81909e1ff743ef607d42 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1d85d08819090fedead132fdd28 completed May 18, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae27a0cd88190aa869980829625a4 completed May 18, 2026, 9:57 a.m.
Created at: April 16, 2026, 8:44 p.m.