Triple

T7132282
Position Surface form Disambiguated ID Type / Status
Subject Akatek E166217 entity
Predicate hasAlternativeName P39 FINISHED
Object Kutiʼ
Kutiʼ is an alternative name for the Akatek language, a Mayan language spoken primarily in the highlands of Guatemala.
E643906 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: Kutiʼ | Statement: [Akatek, hasAlternativeName, Kutiʼ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutiʼ
Context triple: [Akatek, hasAlternativeName, Kutiʼ]
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Kwali
    Kwali is a local government area and town in Nigeria’s Federal Capital Territory, known for its traditional pottery and proximity to Abuja.
  • D. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • E. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • 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: Kutiʼ
Triple: [Akatek, hasAlternativeName, Kutiʼ]
Generated description
Kutiʼ is an alternative name for the Akatek language, a Mayan language spoken primarily in the highlands of Guatemala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kutiʼ
Target entity description: Kutiʼ is an alternative name for the Akatek language, a Mayan language spoken primarily in the highlands of Guatemala.
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Kwali
    Kwali is a local government area and town in Nigeria’s Federal Capital Territory, known for its traditional pottery and proximity to Abuja.
  • D. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • E. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66f15b88190bc1fb0f0a8af16a6 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a341ede88190b43f26f1dad7bf70 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a41986308190ac540663ddfd6802 completed March 28, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4be1cbc8190a7e4eb91d604f994 completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:45 p.m.