Triple

T12271275
Position Surface form Disambiguated ID Type / Status
Subject ESA Planetary Science Archive E292475 entity
Predicate hasAbbreviation P43 FINISHED
Object PSA
PSA is the ESA Planetary Science Archive, a central repository for data from the European Space Agency’s planetary missions.
 E975803 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: [ESA Planetary Science Archive, hasAbbreviation, PSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PSA
Context triple: [ESA Planetary Science Archive, hasAbbreviation, PSA]
  • A. 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.
  • B. PSA
    PSA is the major port operator and logistics company that manages and develops Singapore’s world-leading container terminals.
  • C. PSA
    PSA is the three-letter IATA airport code for Pisa International Airport in Pisa, Italy.
  • D. PSS
    PSS is the French and Italian abbreviation for the Social Democratic Party of Switzerland, a major center-left political party advocating social justice and welfare policies.
  • E. PSB
    PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
  • 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: [ESA Planetary Science Archive, hasAbbreviation, PSA]
Generated description
PSA is the ESA Planetary Science Archive, a central repository for data from the European Space Agency’s planetary missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PSA
Target entity description: PSA is the ESA Planetary Science Archive, a central repository for data from the European Space Agency’s planetary missions.
  • A. 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.
  • B. PSA
    PSA is the major port operator and logistics company that manages and develops Singapore’s world-leading container terminals.
  • C. PSA
    PSA is the three-letter IATA airport code for Pisa International Airport in Pisa, Italy.
  • D. PSS
    PSS is the French and Italian abbreviation for the Social Democratic Party of Switzerland, a major center-left political party advocating social justice and welfare policies.
  • E. PSB
    PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6981b48190a0fc5a571c425be1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622de74f0819096c5f5bf6f938fe7 completed May 2, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69f62379746c8190bc9da48775b86dfa completed May 2, 2026, 4:16 p.m.
Created at: April 8, 2026, 9:52 p.m.