Triple
T14612981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akkar Governorate |
E343005
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Bebnine
Bebnine is a town in northern Lebanon situated within the rural and coastal Akkar region.
|
E1111261
|
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: Bebnine | Statement: [Akkar Governorate, hasCity, Bebnine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bebnine Context triple: [Akkar Governorate, hasCity, Bebnine]
-
A.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
B.
Bevercé
Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
-
C.
Bichota
"Bichota" is a hit reggaeton single by Colombian singer Karol G that became an empowerment anthem across Latin America and beyond.
-
D.
Boebe
Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
-
E.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
- 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: Bebnine Triple: [Akkar Governorate, hasCity, Bebnine]
Generated description
Bebnine is a town in northern Lebanon situated within the rural and coastal Akkar region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bebnine Target entity description: Bebnine is a town in northern Lebanon situated within the rural and coastal Akkar region.
-
A.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
B.
Bevercé
Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
-
C.
Bichota
"Bichota" is a hit reggaeton single by Colombian singer Karol G that became an empowerment anthem across Latin America and beyond.
-
D.
Boebe
Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
-
E.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92110e88190af47b713dd24520b |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb35a57f08190a2d3fe426185bc31 |
completed | May 8, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb400e08081908d0a782908ba5459 |
completed | May 8, 2026, 9:59 a.m. |
Created at: April 10, 2026, 1:25 a.m.