Triple

T14878607
Position Surface form Disambiguated ID Type / Status
Subject Quan E349934 entity
Predicate hasVariant P455 FINISHED
Object Kuan E197729 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: Kuan | Statement: [Quan, hasVariant, Kuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuan
Context triple: [Quan, hasVariant, Kuan]
  • A. Kwan chosen
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • B. K’ana
    K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
  • C. Kangaba
    Kangaba is a historic town in southwestern Mali, traditionally regarded as an early political and cultural center of the Mali Empire and the Keita dynasty.
  • D. Ku
    Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
  • E. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:55 a.m.