Triple

T2726517
Position Surface form Disambiguated ID Type / Status
Subject Cluster mission E60205 entity
Predicate spacecraftName P4019 FINISHED
Object Tango E36345 NE FINISHED

How this triple was built (2 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: Tango | Statement: [Cluster mission, spacecraftName, Tango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tango
Context triple: [Cluster mission, spacecraftName, Tango]
  • A. tango chosen
    Tango is a passionate and dramatic partner dance and musical style that originated in the working-class neighborhoods of Buenos Aires and Montevideo in the late 19th century.
  • B. Calera de Tango
    Calera de Tango is a semi-rural commune and town in central Chile known for its agricultural activity and proximity to Santiago.
  • C. Waltz
    Waltz is a surname most prominently associated with Kenneth N. Waltz, a leading American political scientist known for his work in international relations theory.
  • D. Flamenco
    "Flamenco" is a track from Beyoncé’s genre-blending 2024 album "Cowboy Carter," showcasing her experimental approach to country and contemporary pop music.
  • E. Bomba dance
    Bomba dance is a traditional Afro-Puerto Rican musical and dance form characterized by call-and-response singing, barrel drums, and improvisational dialogue between dancer and drummer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 6, 2026, 9:56 p.m.