Triple

T21201922
Position Surface form Disambiguated ID Type / Status
Subject Ormuri language E522474 entity
Predicate alternativeName P39 FINISHED
Object Bargista
Bargista is an alternative name for the Ormuri language, an Eastern Iranian language spoken by small communities in Afghanistan and Pakistan.
E1472475 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: Bargista | Statement: [Ormuri language, alternativeName, Bargista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bargista
Context triple: [Ormuri language, alternativeName, Bargista]
  • A. Brigobannis
    Brigobannis was an ancient settlement or locality in the Roman province of Raetia, likely situated near the upper Danube in what is now southern Germany.
  • B. Gariannonum
    Gariannonum was a Roman coastal fort in eastern Britain that formed part of the late Roman Saxon Shore defensive system.
  • C. Bedriacum
    Bedriacum was an ancient Roman settlement in northern Italy, near modern-day Cremona, known as the site of two major battles during the Year of the Four Emperors in 69 CE.
  • D. Bugarula
    Bugarula is the main administrative town and local hub of Idjwi Territory in the Democratic Republic of the Congo.
  • E. Brigetio
    Brigetio was an important Roman military and civilian settlement along the Danube frontier in the province of Pannonia (in present-day Hungary).
  • 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: Bargista
Triple: [Ormuri language, alternativeName, Bargista]
Generated description
Bargista is an alternative name for the Ormuri language, an Eastern Iranian language spoken by small communities in Afghanistan and Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bargista
Target entity description: Bargista is an alternative name for the Ormuri language, an Eastern Iranian language spoken by small communities in Afghanistan and Pakistan.
  • A. Brigobannis
    Brigobannis was an ancient settlement or locality in the Roman province of Raetia, likely situated near the upper Danube in what is now southern Germany.
  • B. Gariannonum
    Gariannonum was a Roman coastal fort in eastern Britain that formed part of the late Roman Saxon Shore defensive system.
  • C. Bedriacum
    Bedriacum was an ancient Roman settlement in northern Italy, near modern-day Cremona, known as the site of two major battles during the Year of the Four Emperors in 69 CE.
  • D. Bugarula
    Bugarula is the main administrative town and local hub of Idjwi Territory in the Democratic Republic of the Congo.
  • E. Brigetio
    Brigetio was an important Roman military and civilian settlement along the Danube frontier in the province of Pannonia (in present-day Hungary).
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ecf17908190ae8c2b02002811f9 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3:18 p.m.