Triple
T578353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoy |
E15005
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lyness
Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
|
E75025
|
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: Lyness | Statement: [Hoy, hasSettlement, Lyness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyness Context triple: [Hoy, hasSettlement, Lyness]
-
A.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
B.
Lorne
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
C.
Marsden
Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
-
D.
Lenno
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
E.
Ornytion
Ornytion is a minor figure in Greek mythology, traditionally known as a son of the Corinthian king Sisyphus and father of Merope.
- 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: Lyness Triple: [Hoy, hasSettlement, Lyness]
Generated description
Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyness Target entity description: Lyness is a small coastal village and former naval base on the island of Hoy in Orkney, Scotland.
-
A.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
B.
Lorne
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
C.
Marsden
Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
-
D.
Lenno
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
E.
Ornytion
Ornytion is a minor figure in Greek mythology, traditionally known as a son of the Corinthian king Sisyphus and father of Merope.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b69fed88190b5558d4ebd5047a1 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f31b5a88190b39b678229ce83a3 |
completed | March 2, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69a5201c3f188190819279e37c583f19 |
completed | March 2, 2026, 5:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a520be351081908a70bdfea5560a38 |
completed | March 2, 2026, 5:31 a.m. |
Created at: March 1, 2026, 7:33 p.m.