Triple

T23304170
Position Surface form Disambiguated ID Type / Status
Subject Kick II E590385 entity
Predicate hasTrack P3284 FINISHED
Object Rakata 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: Rakata | Statement: [Kick II, hasTrack, Rakata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakata
Context triple: [Kick II, hasTrack, Rakata]
  • A. Rakata chosen
    "Rakata" is a reggaeton hit by Puerto Rican duo Wisin & Yandel that helped popularize their sound in the mid-2000s Latin urban music scene.
  • B. Kayapa
    Kayapa is a rural municipality in the province of Nueva Vizcaya in the Philippines, known for its mountainous terrain and cool climate.
  • C. Merapoh
    Merapoh is a small town in Pahang, Malaysia, known primarily as a key access point for trekking and expeditions into Taman Negara and Mount Tahan.
  • D. Trowulan
    Trowulan is an archaeological site in East Java, Indonesia, believed to be the former royal city and cultural center of the Majapahit Empire.
  • E. Pararaton
    Pararaton is a Javanese historical chronicle, also known as the "Book of Kings," that narrates the legendary and political history of the Singhasari and Majapahit kingdoms in Indonesia.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19724de488190ac8eb89253c8dd53 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.