Triple

T22329393
Position Surface form Disambiguated ID Type / Status
Subject PSA Norway E551982 entity
Predicate abbreviation P43 FINISHED
Object PSA
PSA is a common abbreviation that can refer to various entities, including organizations, public service announcements, or technical terms, depending on the context.
 E1531336 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: PSA | Statement: [PSA Norway, abbreviation, PSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PSA
Context triple: [PSA Norway, abbreviation, PSA]
  • A. PSA
    The PSA is a prominent literary organization known for supporting and honoring poets and poetry in the United States.
  • B. PSA
    PSA is a leading sports card and memorabilia grading and authentication company known for certifying the condition and authenticity of collectible items.
  • C. PSA
    PSA is the commonly used abbreviation for the British Political Studies Association, a professional organization for political science scholars in the United Kingdom.
  • D. PSA
    The PSA is a landmark U.S. federal law enacted in 1921 to regulate fair competition and trade practices in the livestock, meatpacking, and poultry industries.
  • E. PSA
    PSA is the major port operator and logistics company that manages and develops Singapore’s world-leading container terminals.
  • 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: PSA
Triple: [PSA Norway, abbreviation, PSA]
Generated description
PSA is a common abbreviation that can refer to various entities, including organizations, public service announcements, or technical terms, depending on the context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PSA
Target entity description: PSA is a common abbreviation that can refer to various entities, including organizations, public service announcements, or technical terms, depending on the context.
  • A. PSA
    The PSA is a prominent literary organization known for supporting and honoring poets and poetry in the United States.
  • B. PSA
    PSA is the commonly used abbreviation for the British Political Studies Association, a professional organization for political science scholars in the United Kingdom.
  • C. PSA
    PSA is a leading sports card and memorabilia grading and authentication company known for certifying the condition and authenticity of collectible items.
  • D. PSA
    PSA is the three-letter IATA airport code for Pisa International Airport in Pisa, Italy.
  • E. PSA
    The PSA is a landmark U.S. federal law enacted in 1921 to regulate fair competition and trade practices in the livestock, meatpacking, and poultry industries.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1576ab52c819087563cd778d6bc5e completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad523ecec8190a85eb932288965fb completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:43 p.m.