Triple

T6204824
Position Surface form Disambiguated ID Type / Status
Subject Parker Solar Probe E138720 entity
Predicate hasInstrument P35 FINISHED
Object FIELDS
FIELDS is a scientific instrument suite on NASA’s Parker Solar Probe designed to measure electric and magnetic fields, radio emissions, and plasma waves in the Sun’s outer atmosphere.
 E576690 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: FIELDS | Statement: [Parker Solar Probe, hasInstrument, FIELDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIELDS
Context triple: [Parker Solar Probe, hasInstrument, FIELDS]
  • A. Fields
    Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
  • B. Field
    Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
  • C. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • D. Campo
    Campo is a town located in the South Region of Brazil.
  • E. Fields Corner
    Fields Corner is a rapid transit station in Dorchester, Boston, serving as a key stop on the Massachusetts Bay Transportation Authority’s Red Line.
  • 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: FIELDS
Triple: [Parker Solar Probe, hasInstrument, FIELDS]
Generated description
FIELDS is a scientific instrument suite on NASA’s Parker Solar Probe designed to measure electric and magnetic fields, radio emissions, and plasma waves in the Sun’s outer atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIELDS
Target entity description: FIELDS is a scientific instrument suite on NASA’s Parker Solar Probe designed to measure electric and magnetic fields, radio emissions, and plasma waves in the Sun’s outer atmosphere.
  • A. Fields
    Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
  • B. Field
    Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
  • C. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • D. Campo
    Campo is a town located in the South Region of Brazil.
  • E. Fields Corner
    Fields Corner is a rapid transit station in Dorchester, Boston, serving as a key stop on the Massachusetts Bay Transportation Authority’s Red Line.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626d96ec8190816c00c44668177d completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f412d848190a8e78ad7822aa399 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1e3029cbc8190bed9449ec60412c0 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e42a4c848190bc3a9273d5a6e211 completed March 24, 2026, 1:08 a.m.
Created at: March 22, 2026, 4:20 p.m.