Triple

T17510516
Position Surface form Disambiguated ID Type / Status
Subject Mi Plan E426435 entity
Predicate hasTrack P3284 FINISHED
Object Mi Plan NE NERFINISHED

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: Mi Plan | Statement: [Mi Plan, hasTrack, Mi Plan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mi Plan
Context triple: [Mi Plan, hasTrack, Mi Plan]
  • A. Mi Plan chosen
    Mi Plan is Nelly Furtado’s first full-length Spanish-language studio album, blending Latin pop and romantic ballads.
  • B. Mi Tren
    Mi Tren is the electric light rail system serving the Guadalajara metropolitan area in the Mexican state of Jalisco.
  • C. Yoeme
    Yoeme is the self-designation used by the Yaqui people, an Indigenous group primarily from the Sonoran Desert region of Mexico and the southwestern United States.
  • D. Lo Que Más
    "Lo Que Más" is a Spanish-language pop ballad by Colombian singer Shakira, featured on her 2010 studio album "Sale el Sol."
  • E. Te Quiero Pa' Mi
    "Te Quiero Pa' Mi" is a reggaeton song by Puerto Rican artist Don Omar, recognized as one of his popular Latin urban hits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525b03c48190ada74a7da0f4739c completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.