Triple

T8992736
Position Surface form Disambiguated ID Type / Status
Subject Semnani languages E214828 entity
Predicate hasMember P10 FINISHED
Object Aftari language
The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
 E771661 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: Aftari language | Statement: [Semnani languages, hasMember, Aftari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aftari language
Context triple: [Semnani languages, hasMember, Aftari language]
  • A. Tai Aiton language
    The Tai Aiton language is a Southwestern Tai language spoken by the Tai Aiton ethnic community in northeastern India, particularly in Assam.
  • B. Defaka language
    The Defaka language is a highly endangered Niger-Congo language spoken by a small community in Nigeria’s Niger Delta region.
  • C. Attié language
    The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
  • D. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • E. Nanti language
    The Nanti language is an indigenous Arawakan language spoken by the Nanti people of the Peruvian Amazon, known for its relative isolation and endangered status.
  • 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: Aftari language
Triple: [Semnani languages, hasMember, Aftari language]
Generated description
The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aftari language
Target entity description: The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
  • A. Tai Aiton language
    The Tai Aiton language is a Southwestern Tai language spoken by the Tai Aiton ethnic community in northeastern India, particularly in Assam.
  • B. Defaka language
    The Defaka language is a highly endangered Niger-Congo language spoken by a small community in Nigeria’s Niger Delta region.
  • C. Attié language
    The Attié language is a Niger-Congo language spoken primarily by the Attié people of southern Côte d'Ivoire.
  • D. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • E. Nanti language
    The Nanti language is an indigenous Arawakan language spoken by the Nanti people of the Peruvian Amazon, known for its relative isolation and endangered status.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd27680408190a5ebcebacf9e4303 completed April 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2dbf3cc81909589bd9467239573 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:04 p.m.