Triple

T22723397
Position Surface form Disambiguated ID Type / Status
Subject Kanasubigi E561924 entity
Predicate hasVariantSpelling P457 FINISHED
Object kanasybigi
kanasybigi is an alternative spelling of "Kanasubigi," a debated Old Bulgarian royal title or epithet found in early medieval inscriptions.
 E1550687 NE FINISHED

How this triple was built (4 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: kanasybigi | Statement: [Kanasubigi, hasVariantSpelling, kanasybigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: kanasybigi
Context triple: [Kanasubigi, hasVariantSpelling, kanasybigi]
  • A. kan
    Kan is a Mayan term meaning “snake” or “serpent,” often associated with divinity, power, and the feathered serpent deity in Mesoamerican cultures.
  • B. kan
    kan is the ISO 639-2 code for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • C. kandake
    Kandake was the royal title used for powerful queen mothers and ruling queens of the ancient Nubian Kingdom of Kush (including Meroë), often noted in Greco-Roman sources as "Candace."
  • D. Káínai
    Káínai are a Blackfoot-speaking Indigenous people of the Kainai Nation, traditionally based in what is now southern Alberta, Canada.
  • E. Kaindy
    Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: kanasybigi
Triple: [Kanasubigi, hasVariantSpelling, kanasybigi]
Generated description
kanasybigi is an alternative spelling of "Kanasubigi," a debated Old Bulgarian royal title or epithet found in early medieval inscriptions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: kanasybigi
Target entity description: kanasybigi is an alternative spelling of "Kanasubigi," a debated Old Bulgarian royal title or epithet found in early medieval inscriptions.
  • A. kan
    Kan is a Mayan term meaning “snake” or “serpent,” often associated with divinity, power, and the feathered serpent deity in Mesoamerican cultures.
  • B. kan
    kan is the ISO 639-2 code for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • C. kandake
    Kandake was the royal title used for powerful queen mothers and ruling queens of the ancient Nubian Kingdom of Kush (including Meroë), often noted in Greco-Roman sources as "Candace."
  • D. Káínai
    Káínai are a Blackfoot-speaking Indigenous people of the Kainai Nation, traditionally based in what is now southern Alberta, Canada.
  • E. Kaindy
    Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
  • F. None of above. chosen

Provenance (5 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17927e0348190a4dba430563ef155 completed April 29, 2026, 3:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ee34d6c8190b731cd64b3acd6f1 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7f4f748481909f87c6fb2a5aa913 completed May 18, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7faf97fc8190b978f223db313541 completed May 18, 2026, 9:07 p.m.
Created at: April 17, 2026, 3:20 p.m.