Triple

T11509849
Position Surface form Disambiguated ID Type / Status
Subject Barikot E272879 entity
Predicate hasAlternativeName P39 FINISHED
Object Bazira
Bazira is an ancient archaeological and historical settlement in the Swat Valley of northern Pakistan, known for its Buddhist-era remains and strategic location along old trade routes.
 E930476 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: Bazira | Statement: [Barikot, hasAlternativeName, Bazira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazira
Context triple: [Barikot, hasAlternativeName, Bazira]
  • A. Buikwe
    Buikwe is a district in central Uganda that forms part of the traditional kingdom of Buganda.
  • B. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • C. Bashenga
    Bashenga is a legendary Wakandan warrior and the first Black Panther, revered as the founder of the Panther cult and an ancestor of T'Challa in Marvel Comics.
  • D. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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: Bazira
Triple: [Barikot, hasAlternativeName, Bazira]
Generated description
Bazira is an ancient archaeological and historical settlement in the Swat Valley of northern Pakistan, known for its Buddhist-era remains and strategic location along old trade routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazira
Target entity description: Bazira is an ancient archaeological and historical settlement in the Swat Valley of northern Pakistan, known for its Buddhist-era remains and strategic location along old trade routes.
  • A. Buikwe
    Buikwe is a district in central Uganda that forms part of the traditional kingdom of Buganda.
  • B. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • C. Bashenga
    Bashenga is a legendary Wakandan warrior and the first Black Panther, revered as the founder of the Panther cult and an ancestor of T'Challa in Marvel Comics.
  • D. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db65eb081908613a1002c6a4fb4 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
NEDg Description generation batch_69e62cf44018819094818f11ac653763 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e674c3a98c8190b32dc6879cb3a5f9 completed April 20, 2026, 6:47 p.m.
Created at: April 8, 2026, 9:36 p.m.