Triple
T15016949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faraya–Mzaar ski area |
E377980
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object |
Kfardebian
Kfardebian is a Lebanese mountain village in the Keserwan District, known for its proximity to major ski resorts and its role as a popular winter tourism destination.
|
E1160629
|
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: Kfardebian | Statement: [Faraya–Mzaar ski area, hasNearbyVillage, Kfardebian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kfardebian Context triple: [Faraya–Mzaar ski area, hasNearbyVillage, 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.
Kfar Habou
Kfar Habou is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
-
E.
Kfar Sir
Kfar Sir is a village located in southern Lebanon within the Nabatieh Governorate.
- 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: Kfardebian Triple: [Faraya–Mzaar ski area, hasNearbyVillage, Kfardebian]
Generated description
Kfardebian is a Lebanese mountain village in the Keserwan District, known for its proximity to major ski resorts and its role as a popular winter tourism destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kfardebian Target entity description: Kfardebian is a Lebanese mountain village in the Keserwan District, known for its proximity to major ski resorts and its role as a popular winter 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.
Kfar Habou
Kfar Habou is a village located in the Miniyeh-Danniyeh District of the North Governorate in Lebanon.
-
E.
Kfar Sir
Kfar Sir is a village located in southern Lebanon within the Nabatieh Governorate.
- 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_69ff3647bda881909a83311926096a29 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff376dac388190ab3b7e3553d2de29 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 2:55 a.m.