Triple
T8041338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bkerké |
E187446
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Mount Lebanon |
E59382
|
NE FINISHED |
How this triple was built (2 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: Mount Lebanon | Statement: [Bkerké, region, Mount Lebanon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Lebanon Context triple: [Bkerké, region, Mount Lebanon]
-
A.
Mount Lebanon
chosen
Mount Lebanon is a historic mountainous region in modern-day Lebanon that has long served as a cultural and political heartland for the Druze community.
-
B.
North Lebanon
North Lebanon is a region in northern Lebanon that was a significant theater of conflict and political tension during the Lebanese Civil War.
-
C.
Mt. Lebanon
Mt. Lebanon is a suburban municipality just south of Pittsburgh, Pennsylvania, known for its residential neighborhoods, strong school system, and walkable business districts.
-
D.
Mount Carmel
Mount Carmel is a residential neighborhood in Hamden, Connecticut, known for its proximity to Sleeping Giant State Park and Quinnipiac University.
-
E.
Mount Carmel
Mount Carmel is a coastal mountain range in northern Israel known for its religious significance, scenic landscapes, and the city of Haifa built on its slopes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f1e98508190a29a7bb5055f8ba0 |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5706a4a881909758ea34cf5c0cf2 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:23 p.m.