Triple

T3875644
Position Surface form Disambiguated ID Type / Status
Subject Venus Express E92493 entity
Predicate instrument P792 FINISHED
Object PFS
PFS is a planetary Fourier spectrometer used on the Venus Express mission to analyze the composition and structure of Venus’s atmosphere.
 E394671 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: PFS | Statement: [Venus Express, instrument, PFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PFS
Context triple: [Venus Express, instrument, PFS]
  • A. PFSO
    PFSO is the designated security professional responsible for developing, implementing, and overseeing security measures at a port facility in accordance with maritime security regulations.
  • B. PSF
    PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • C. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • D. PFA
    PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • E. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • 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: PFS
Triple: [Venus Express, instrument, PFS]
Generated description
PFS is a planetary Fourier spectrometer used on the Venus Express mission to analyze the composition and structure of Venus’s atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PFS
Target entity description: PFS is a planetary Fourier spectrometer used on the Venus Express mission to analyze the composition and structure of Venus’s atmosphere.
  • A. PFSO
    PFSO is the designated security professional responsible for developing, implementing, and overseeing security measures at a port facility in accordance with maritime security regulations.
  • B. PSF
    PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • C. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • D. PFA
    PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • E. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124f095881909143b624128ff569 completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512f4041081908eb32ae059681afa completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137200a08190bd2a78398e03803e completed March 14, 2026, 7:51 a.m.
Created at: March 9, 2026, 3:20 p.m.