Triple
T7264514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lebanon Governorate |
E159736
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Bikfaya
Bikfaya is a historic mountain town in Lebanon known for its cool climate, pine forests, and traditional Lebanese architecture.
|
E652528
|
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: Bikfaya | Statement: [Mount Lebanon Governorate, hasMajorCity, Bikfaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikfaya Context triple: [Mount Lebanon Governorate, hasMajorCity, Bikfaya]
-
A.
Baddo
Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
-
B.
Baddo
Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
-
C.
Bisharin
Bisharin are a subgroup of the Beja people, traditionally semi-nomadic pastoralists inhabiting parts of northeastern Sudan and southern Egypt.
-
D.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
E.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
- 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: Bikfaya Triple: [Mount Lebanon Governorate, hasMajorCity, Bikfaya]
Generated description
Bikfaya is a historic mountain town in Lebanon known for its cool climate, pine forests, and traditional Lebanese architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bikfaya Target entity description: Bikfaya is a historic mountain town in Lebanon known for its cool climate, pine forests, and traditional Lebanese architecture.
-
A.
Baddo
Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
-
B.
Baddo
Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
-
C.
Bisharin
Bisharin are a subgroup of the Beja people, traditionally semi-nomadic pastoralists inhabiting parts of northeastern Sudan and southern Egypt.
-
D.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
E.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae50e008190a660925074077344 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3c7754481908ff7cc0fc6419599 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d5c7c3a48190b8d1b5e351ebfbd5 |
completed | March 28, 2026, 1:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d639f7f08190a360bd2899e6fef8 |
completed | March 28, 2026, 1:23 p.m. |
Created at: March 27, 2026, 2:57 p.m.