Triple

T23305971
Position Surface form Disambiguated ID Type / Status
Subject Qom E590435 entity
Predicate language P15 FINISHED
Object Qom language
The Qom language is an indigenous Guaicuruan language spoken primarily by the Qom (Toba) people of Argentina, Paraguay, and Bolivia.
E1580504 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: Qom language | Statement: [Qom, language, Qom language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qom language
Context triple: [Qom, language, Qom language]
  • A. Mazanderani language
    Mazanderani language is a Northwestern Iranian language spoken primarily along Iran’s southern Caspian Sea coast, especially in Mazandaran Province.
  • B. Achomi language
    Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
  • C. Dameli language
    The Dameli language is an Indo-Aryan (Dardic) language spoken by a small community in the Damel Valley of Chitral District in northern Pakistan.
  • D. Karakhani language
    The Karakhani language was a historical Turkic language of the Karluk branch, associated with the Karakhanid Khanate in Central Asia.
  • E. Bakhtiari Luri
    Bakhtiari Luri is a major Southwestern Iranian dialect spoken primarily by the Bakhtiari people of western and southwestern Iran.
  • 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: Qom language
Triple: [Qom, language, Qom language]
Generated description
The Qom language is an indigenous Guaicuruan language spoken primarily by the Qom (Toba) people of Argentina, Paraguay, and Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qom language
Target entity description: The Qom language is an indigenous Guaicuruan language spoken primarily by the Qom (Toba) people of Argentina, Paraguay, and Bolivia.
  • A. Mazanderani language
    Mazanderani language is a Northwestern Iranian language spoken primarily along Iran’s southern Caspian Sea coast, especially in Mazandaran Province.
  • B. Achomi language
    Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
  • C. Dameli language
    The Dameli language is an Indo-Aryan (Dardic) language spoken by a small community in the Damel Valley of Chitral District in northern Pakistan.
  • D. Karakhani language
    The Karakhani language was a historical Turkic language of the Karluk branch, associated with the Karakhanid Khanate in Central Asia.
  • E. Bakhtiari Luri
    Bakhtiari Luri is a major Southwestern Iranian dialect spoken primarily by the Bakhtiari people of western and southwestern Iran.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972737c08190bd011776564c3861 completed April 29, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c9af5c481908d9bccc9e0370c9f completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4e7c53d0819096e33379351a3c8f completed May 19, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4f26ab808190a7c1b5b73954ef0f completed May 19, 2026, 11:53 a.m.
Created at: April 17, 2026, 5:05 p.m.