Triple

T13553037
Position Surface form Disambiguated ID Type / Status
Subject Solar Wind Analyser E323697 entity
Predicate acronym P43 FINISHED
Object SWA
SWA is a scientific instrument designed to measure and analyze the properties of the solar wind in space missions.
E1047346 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: SWA | Statement: [Solar Wind Analyser, acronym, SWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWA
Context triple: [Solar Wind Analyser, acronym, SWA]
  • A. SWA
    SWA is the ICAO airline designator used to identify Southwest Airlines in aviation operations and air traffic control.
  • B. SWA
    SWA is the National Rail station code for Swansea railway station, a major rail hub in Swansea, Wales.
  • C. SWA Group
    SWA Group is an international landscape architecture, planning, and urban design firm known for its influential public spaces and large-scale environmental projects.
  • D. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • E. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • 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: SWA
Triple: [Solar Wind Analyser, acronym, SWA]
Generated description
SWA is a scientific instrument designed to measure and analyze the properties of the solar wind in space missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SWA
Target entity description: SWA is a scientific instrument designed to measure and analyze the properties of the solar wind in space missions.
  • A. SWA
    SWA is the ICAO airline designator used to identify Southwest Airlines in aviation operations and air traffic control.
  • B. SWA
    SWA is the National Rail station code for Swansea railway station, a major rail hub in Swansea, Wales.
  • C. SWA Group
    SWA Group is an international landscape architecture, planning, and urban design firm known for its influential public spaces and large-scale environmental projects.
  • D. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • E. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ec5101081909652b0c0998b36c8 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f4a3b0c81908c0ca0351771953b completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:46 p.m.