Triple

T18447262
Position Surface form Disambiguated ID Type / Status
Subject United Nations Public Service Awards E450688 entity
Predicate shortName P43 FINISHED
Object UNPSA
UNPSA is the acronym for the United Nations Public Service Awards, a global program that recognizes excellence and innovation in public sector service.
 E1325300 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: UNPSA | Statement: [United Nations Public Service Awards, shortName, UNPSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNPSA
Context triple: [United Nations Public Service Awards, shortName, UNPSA]
  • A. UNSA
    UNSA is a major public university in Arequipa, Peru, known for its broad range of academic programs and significant regional influence in education and research.
  • B. UNSA
    UNSA is the commonly used acronym for the University of Sarajevo, the largest and oldest public university in Bosnia and Herzegovina.
  • C. UPSA
    UPSA is a public university in Accra, Ghana, specializing in professional, business, and management education.
  • D. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • E. PSL
    PSL is the IATA airport code assigned to Perth Airport in Scotland.
  • 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: UNPSA
Triple: [United Nations Public Service Awards, shortName, UNPSA]
Generated description
UNPSA is the acronym for the United Nations Public Service Awards, a global program that recognizes excellence and innovation in public sector service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNPSA
Target entity description: UNPSA is the acronym for the United Nations Public Service Awards, a global program that recognizes excellence and innovation in public sector service.
  • A. UNSA
    UNSA is a major public university in Arequipa, Peru, known for its broad range of academic programs and significant regional influence in education and research.
  • B. UNSA
    UNSA is the commonly used acronym for the University of Sarajevo, the largest and oldest public university in Bosnia and Herzegovina.
  • C. UPSA
    UPSA is a public university in Accra, Ghana, specializing in professional, business, and management education.
  • D. UNIS
    UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
  • E. PSL
    PSL is the IATA airport code assigned to Perth Airport in Scotland.
  • 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_69e52645cb88819086b0e70b6613edcd completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe1ac6c8190a803ce4b048e2520 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a04123430308190af22a11b2151c8b8 completed May 13, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a04131eb4988190af4024bfcad648bc completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 11:30 a.m.