Triple

T6561585
Position Surface form Disambiguated ID Type / Status
Subject Qʼanjobʼal E153794 entity
Predicate hasAlternativeName P39 FINISHED
Object Qanjobal
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
 E606579 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: Qanjobal | Statement: [Qʼanjobʼal, hasAlternativeName, Qanjobal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qanjobal
Context triple: [Qʼanjobʼal, hasAlternativeName, Qanjobal]
  • A. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • B. Qaʾan
    Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
  • C. Qunaba
    Qunaba is a rural locality in the Bundaberg Region of Queensland, Australia, known for its agricultural land and proximity to the Coral Sea coast.
  • D. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • E. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • 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: Qanjobal
Triple: [Qʼanjobʼal, hasAlternativeName, Qanjobal]
Generated description
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qanjobal
Target entity description: Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • A. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • B. Qaʾan
    Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
  • C. Qunaba
    Qunaba is a rural locality in the Bundaberg Region of Queensland, Australia, known for its agricultural land and proximity to the Coral Sea coast.
  • D. Kalsa
    Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
  • E. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42523848190b02682e6a640ac05 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e50db2cc8190932c4d44257acb83 completed March 27, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69c6e5eacefc819092d0e9f79d90c4a6 completed March 27, 2026, 8:17 p.m.
Created at: March 27, 2026, 1:52 p.m.