Triple

T7770753
Position Surface form Disambiguated ID Type / Status
Subject Kukulcán E179061 entity
Predicate nameComponent P5298 FINISHED
Object kan
Kan is a Mayan term meaning “snake” or “serpent,” often associated with divinity, power, and the feathered serpent deity in Mesoamerican cultures.
 E686744 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: kan | Statement: [Kukulcán, nameComponent, kan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: kan
Context triple: [Kukulcán, nameComponent, kan]
  • A. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • B. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • C. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • D. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • E. kes
    Kes is the title given to the traditional religious leaders and priests of the Ethiopian Jewish (Beta Israel) community.
  • 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: kan
Triple: [Kukulcán, nameComponent, kan]
Generated description
Kan is a Mayan term meaning “snake” or “serpent,” often associated with divinity, power, and the feathered serpent deity in Mesoamerican cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: kan
Target entity description: Kan is a Mayan term meaning “snake” or “serpent,” often associated with divinity, power, and the feathered serpent deity in Mesoamerican cultures.
  • A. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • B. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • C. Ka
    Ka is the introspective poet and protagonist of Orhan Pamuk’s novel "Snow," whose return to Turkey and entanglement in political and personal conflicts drive the story’s exploration of faith, identity, and modernity.
  • D. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • E. kes
    Kes is the title given to the traditional religious leaders and priests of the Ethiopian Jewish (Beta Israel) community.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70438ca2481909114b0c434717109 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ead45c8190847365d8549eefab completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c83be35481908fe672c4ad6885a0 completed March 29, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8a317d08190a34be81f78237e46 completed March 29, 2026, 6:37 a.m.
Created at: March 27, 2026, 4:11 p.m.