Triple

T22933164
Position Surface form Disambiguated ID Type / Status
Subject Ledo Kaili E569500 entity
Predicate hasAlternativeName P39 FINISHED
Object Standard Kaili 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: Standard Kaili | Statement: [Ledo Kaili, hasAlternativeName, Standard Kaili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Kaili
Context triple: [Ledo Kaili, hasAlternativeName, Standard Kaili]
  • A. KAINA
    KAINA is a Chicago-based singer, songwriter, and producer known for her soulful, genre-blending music and introspective lyrics.
  • B. KAIK
    KAIK is the ICAO airport code for Aiken Regional Airport, a public airport serving Aiken, South Carolina, USA.
  • C. KIAL
    KIAL is the commonly used abbreviation for Kannur International Airport, a major international airport serving the Kannur region in the Indian state of Kerala.
  • D. Unde Kaili chosen
    Unde Kaili is a major dialect of the Kaili language spoken by the Kaili ethnic group in Central Sulawesi, Indonesia.
  • E. Kalaiya
    Kalaiya is a city in southern Nepal that serves as an important local administrative and commercial center within Madhesh Province.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.