Triple

T14632756
Position Surface form Disambiguated ID Type / Status
Subject Miniyeh-Danniyeh District E343521 entity
Predicate hasVillage P4011 FINISHED
Object Bakhoun
Bakhoun is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
 E1110604 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: Bakhoun | Statement: [Miniyeh-Danniyeh District, hasVillage, Bakhoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bakhoun
Context triple: [Miniyeh-Danniyeh District, hasVillage, Bakhoun]
  • A. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • B. Djoum
    Djoum is a small town in southern Cameroon known as a local administrative and trading center within the country's South Region.
  • C. Amdoun
    Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
  • D. Danniyeh
    Danniyeh is a mountainous region in northern Lebanon known for its rural villages, natural landscapes, and agricultural communities.
  • E. Sawalha
    Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
  • 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: Bakhoun
Triple: [Miniyeh-Danniyeh District, hasVillage, Bakhoun]
Generated description
Bakhoun is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bakhoun
Target entity description: Bakhoun is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
  • A. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • B. Djoum
    Djoum is a small town in southern Cameroon known as a local administrative and trading center within the country's South Region.
  • C. Amdoun
    Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
  • D. Danniyeh chosen
    Danniyeh is a mountainous region in northern Lebanon known for its rural villages, natural landscapes, and agricultural communities.
  • E. Sawalha
    Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
  • F. None of above.

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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d2059081908150b6534aebb32f completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdda11b3a481908f9b9184801dc24b completed May 8, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69fddab28b0881908d873d43edd45c0c completed May 8, 2026, 12:44 p.m.
Created at: April 10, 2026, 1:26 a.m.