Triple

T14014952
Position Surface form Disambiguated ID Type / Status
Subject Swaecation E337179 entity
Predicate producer P490 FINISHED
Object YoungKio E581712 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: YoungKio | Statement: [Swaecation, producer, YoungKio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YoungKio
Context triple: [Swaecation, producer, YoungKio]
  • A. YoungKio chosen
    YoungKio is a Dutch music producer best known for creating the beat used in Lil Nas X’s global hit “Old Town Road.”
  • B. kai yang
    Kai yang is a popular Thai-style grilled chicken dish, especially associated with the Isan region of northeastern Thailand.
  • C. JYO
    JYO is the IATA airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia.
  • D. Yong
    Yong is a variant transliteration of the Chinese surname and given name commonly romanized as Yang.
  • E. Yong
    Yong was an ancient Chinese city that served as the political and administrative center of the Qin state during the Warring States period.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacac12608190a5e3d970ec3cda45 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.