Triple

T7134073
Position Surface form Disambiguated ID Type / Status
Subject Bouira Province E166260 entity
Predicate hasSettlement P1068 FINISHED
Object Hanif
Hanif is a town and commune located within Bouira Province in northern Algeria.
E643385 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: Hanif | Statement: [Bouira Province, hasSettlement, Hanif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanif
Context triple: [Bouira Province, hasSettlement, Hanif]
  • A. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Mohsin
    Mohsin is a masculine given name commonly used in Muslim-majority cultures, derived from Arabic and generally meaning "benefactor" or "one who does good."
  • C. Hussaini
    Hussaini is a small, picturesque village in Pakistan’s Hunza Valley, best known for its dramatic mountain scenery and the famous, vertigo-inducing Hussaini suspension bridge.
  • D. Habib
    Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
  • E. Haroon
    Haroon is a family name of Arabic origin commonly used in South Asian Muslim communities, notably borne by figures such as Pakistani politician and philanthropist Abdullah Haroon.
  • 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: Hanif
Triple: [Bouira Province, hasSettlement, Hanif]
Generated description
Hanif is a town and commune located within Bouira Province in northern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hanif
Target entity description: Hanif is a town and commune located within Bouira Province in northern Algeria.
  • A. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Mohsin
    Mohsin is a masculine given name commonly used in Muslim-majority cultures, derived from Arabic and generally meaning "benefactor" or "one who does good."
  • C. Hussaini
    Hussaini is a small, picturesque village in Pakistan’s Hunza Valley, best known for its dramatic mountain scenery and the famous, vertigo-inducing Hussaini suspension bridge.
  • D. Habib
    Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
  • E. Haroon
    Haroon is a family name of Arabic origin commonly used in South Asian Muslim communities, notably borne by figures such as Pakistani politician and philanthropist Abdullah Haroon.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e68f15bc8190a4d82b8ee388f497 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a3f2b51c81909f058149e9bd9f0a completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4a9e91881909df07f1c540f191e completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:45 p.m.