Triple

T4437512
Position Surface form Disambiguated ID Type / Status
Subject Subaru Telescope E95686 entity
Predicate hasInstrument P35 FINISHED
Object PFS
PFS is a multi-object, wide-field optical and near-infrared spectrograph designed for large-scale astronomical surveys on the Subaru Telescope.
E440269 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: [Subaru Telescope, hasInstrument, PFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PFS
Context triple: [Subaru Telescope, hasInstrument, PFS]
  • A. PFS
    PFS is a planetary Fourier spectrometer used on the Venus Express mission to analyze the composition and structure of Venus’s atmosphere.
  • B. PFS
    PFS (Planetary Fourier Spectrometer) is a scientific instrument designed to analyze the Martian atmosphere’s composition and temperature structure using infrared spectroscopy aboard the Mars Express spacecraft.
  • C. 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.
  • D. PSF
    PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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: [Subaru Telescope, hasInstrument, PFS]
Generated description
PFS is a multi-object, wide-field optical and near-infrared spectrograph designed for large-scale astronomical surveys on the Subaru Telescope.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PFS
Target entity description: PFS is a multi-object, wide-field optical and near-infrared spectrograph designed for large-scale astronomical surveys on the Subaru Telescope.
  • A. PFS
    PFS is a planetary Fourier spectrometer used on the Venus Express mission to analyze the composition and structure of Venus’s atmosphere.
  • B. PFS
    PFS (Planetary Fourier Spectrometer) is a scientific instrument designed to analyze the Martian atmosphere’s composition and temperature structure using infrared spectroscopy aboard the Mars Express spacecraft.
  • C. 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.
  • D. PSF
    PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558b1d4481909060ede5e0ded4bc completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137960908190814cbdf0b4e56542 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b61439a86c8190849c5af718ddc647 completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b614d6106c81908a601f540622f934 completed March 15, 2026, 2:09 a.m.
Created at: March 12, 2026, 11:31 p.m.