Triple

T12271352
Position Surface form Disambiguated ID Type / Status
Subject SOHO E292476 entity
Predicate hasInstrument P35 FINISHED
Object ERNE
ERNE is a scientific instrument aboard the SOHO spacecraft designed to study energetic particles emitted by the Sun.
 E975808 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: ERNE | Statement: [SOHO, hasInstrument, ERNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERNE
Context triple: [SOHO, hasInstrument, ERNE]
  • A. Erny
    Erny is an alternative spelling of the given name Ernie, typically used as a diminutive form of Ernest.
  • B. Ennery
    Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
  • C. Er
    Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
  • D. Ering
    Ering is a small municipality in Bavaria, Germany, located near the town of Simbach am Inn along the Austrian border.
  • E. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • 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: ERNE
Triple: [SOHO, hasInstrument, ERNE]
Generated description
ERNE is a scientific instrument aboard the SOHO spacecraft designed to study energetic particles emitted by the Sun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERNE
Target entity description: ERNE is a scientific instrument aboard the SOHO spacecraft designed to study energetic particles emitted by the Sun.
  • A. Erny
    Erny is an alternative spelling of the given name Ernie, typically used as a diminutive form of Ernest.
  • B. Ennery
    Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
  • C. Er
    Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
  • D. Ering
    Ering is a small municipality in Bavaria, Germany, located near the town of Simbach am Inn along the Austrian border.
  • E. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • 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.