Triple

T15016918
Position Surface form Disambiguated ID Type / Status
Subject Faraya–Mzaar ski area E377980 entity
Predicate near P350 FINISHED
Object Mzaar Kfardebian
Mzaar Kfardebian is a Lebanese mountain resort town in the Mount Lebanon range, best known as a major winter sports and tourism destination.
 E1131361 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: Mzaar Kfardebian | Statement: [Faraya–Mzaar ski area, near, Mzaar Kfardebian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mzaar Kfardebian
Context triple: [Faraya–Mzaar ski area, near, Mzaar Kfardebian]
  • A. Kfarhazir
    Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
  • B. Kfarhay
    Kfarhay is a small village located in the Batroun District of northern Lebanon, known for its rural character and traditional Lebanese landscape.
  • C. Kfarhata
    Kfarhata is a village located in the Koura District of northern Lebanon, known for its agricultural character and traditional rural setting.
  • D. Beit El Faqs
    Beit El Faqs is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
  • E. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • 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: Mzaar Kfardebian
Triple: [Faraya–Mzaar ski area, near, Mzaar Kfardebian]
Generated description
Mzaar Kfardebian is a Lebanese mountain resort town in the Mount Lebanon range, best known as a major winter sports and tourism destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mzaar Kfardebian
Target entity description: Mzaar Kfardebian is a Lebanese mountain resort town in the Mount Lebanon range, best known as a major winter sports and tourism destination.
  • A. Kfarhazir
    Kfarhazir is a village in northern Lebanon known for its scenic hilltop location and traditional Lebanese rural character.
  • B. Kfarhay
    Kfarhay is a small village located in the Batroun District of northern Lebanon, known for its rural character and traditional Lebanese landscape.
  • C. Kfarhata
    Kfarhata is a village located in the Koura District of northern Lebanon, known for its agricultural character and traditional rural setting.
  • D. Beit El Faqs
    Beit El Faqs is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
  • E. Mazar
    Mazar is the surname of American actress and television personality Debi Mazar, known for her sharp-tongued roles in film and TV.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7633fcc8190b2231f43252bc46f completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96ae110c8190a0555590b9ddb36a completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97c0a3688190a9f55376a1d7ad87 completed May 9, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69fe985cec608190888733cdc5bd71ea completed May 9, 2026, 2:13 a.m.
Created at: April 10, 2026, 2:55 a.m.