Triple

T2726514
Position Surface form Disambiguated ID Type / Status
Subject Cluster mission E60205 entity
Predicate spacecraftName P4019 FINISHED
Object Rumba
Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
 E292479 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: Rumba | Statement: [Cluster mission, spacecraftName, Rumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rumba
Context triple: [Cluster mission, spacecraftName, Rumba]
  • A. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • B. Soca
    Soca is a lively Caribbean music genre from Trinidad and Tobago that blends calypso with Indian and other global influences, known for its upbeat rhythms and association with Carnival.
  • C. Afroswing
    Afroswing is a UK-born music genre that fuses elements of Afrobeats, dancehall, hip hop, and R&B into a melodic, rhythm-driven sound.
  • D. Garba dance
    Garba dance is a traditional, high-energy folk dance from the Indian state of Gujarat, typically performed in circles during the Navratri festival to honor the goddess Durga.
  • E. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • 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: Rumba
Triple: [Cluster mission, spacecraftName, Rumba]
Generated description
Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rumba
Target entity description: Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
  • A. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • B. Soca
    Soca is a lively Caribbean music genre from Trinidad and Tobago that blends calypso with Indian and other global influences, known for its upbeat rhythms and association with Carnival.
  • C. Afroswing
    Afroswing is a UK-born music genre that fuses elements of Afrobeats, dancehall, hip hop, and R&B into a melodic, rhythm-driven sound.
  • D. Garba dance
    Garba dance is a traditional, high-energy folk dance from the Indian state of Gujarat, typically performed in circles during the Navratri festival to honor the goddess Durga.
  • E. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdace9f308190964a064859612cd6 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6982974819089d0ef4a59cc4085 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb7166d788190ac219fe3c3e164fe completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.