Triple

T10301115
Position Surface form Disambiguated ID Type / Status
Subject Farah Province E241629 entity
Predicate hasSettlement P1068 FINISHED
Object Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
E856469 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: Bakwa | Statement: [Farah Province, hasSettlement, Bakwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakwa
Context triple: [Farah Province, hasSettlement, Bakwa]
  • A. Baaka
    Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
  • B. Bako
    Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • C. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • D. Barisakho
    Barisakho is a small mountain village in the historic Khevsureti region of northeastern Georgia, serving as one of its local centers.
  • E. Bakari
    Bakari is the middle name of American actor and filmmaker Michael B. Jordan, known for roles in films like "Creed" and "Black Panther."
  • 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: Bakwa
Triple: [Farah Province, hasSettlement, Bakwa]
Generated description
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bakwa
Target entity description: Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
  • A. Baaka
    Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
  • B. Bako
    Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • C. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • D. Barisakho
    Barisakho is a small mountain village in the historic Khevsureti region of northeastern Georgia, serving as one of its local centers.
  • E. Bakari
    Bakari is the middle name of American actor and filmmaker Michael B. Jordan, known for roles in films like "Creed" and "Black Panther."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d47049c81909b60058c36042f71 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:44 a.m.