Triple
T7773231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benbecula |
E179123
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lionacleit
Lionacleit is a small coastal settlement on the island of Benbecula in Scotland’s Outer Hebrides, known for its community facilities and proximity to local beaches and machair.
|
E687755
|
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: Lionacleit | Statement: [Benbecula, hasSettlement, Lionacleit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lionacleit Context triple: [Benbecula, hasSettlement, Lionacleit]
-
A.
Mightylele
"Mightylele" is a popular dancehall/reggae track by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy, Afrobeat-infused style.
-
B.
Aigaleo
Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
-
C.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
D.
Lion-Mher
Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
-
E.
Leoneg
Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
- 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: Lionacleit Triple: [Benbecula, hasSettlement, Lionacleit]
Generated description
Lionacleit is a small coastal settlement on the island of Benbecula in Scotland’s Outer Hebrides, known for its community facilities and proximity to local beaches and machair.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lionacleit Target entity description: Lionacleit is a small coastal settlement on the island of Benbecula in Scotland’s Outer Hebrides, known for its community facilities and proximity to local beaches and machair.
-
A.
Mightylele
"Mightylele" is a popular dancehall/reggae track by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy, Afrobeat-infused style.
-
B.
Aigaleo
Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
-
C.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
D.
Lion-Mher
Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
-
E.
Leoneg
Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70461b3e48190bf1e4d4f9e6bb08e |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ee407881908e591d216c504b24 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b84f88819086ecd371b62e2b5b |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c917a1308190ab2c8e70d6ed8c0e |
completed | March 29, 2026, 6:39 a.m. |
Created at: March 27, 2026, 4:11 p.m.