Triple
T5429954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land's End |
E121460
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Sennen
Sennen is a small coastal village and civil parish in Cornwall, England, known for its scenic beach and proximity to Land’s End.
|
E519564
|
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: Sennen | Statement: [Land's End, nearbySettlement, Sennen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sennen Context triple: [Land's End, nearbySettlement, Sennen]
-
A.
Es Sénia
Es Sénia is a commune and suburb of Oran in northwestern Algeria, known for hosting the region’s main international airport and various industrial and educational facilities.
-
B.
Leintwardine
Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
-
C.
Senne
The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
-
D.
Titsey
Titsey is a small rural village and civil parish in Surrey, England, known for its historic estate and scenic countryside near the North Downs.
-
E.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
- 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: Sennen Triple: [Land's End, nearbySettlement, Sennen]
Generated description
Sennen is a small coastal village and civil parish in Cornwall, England, known for its scenic beach and proximity to Land’s End.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sennen Target entity description: Sennen is a small coastal village and civil parish in Cornwall, England, known for its scenic beach and proximity to Land’s End.
-
A.
Es Sénia
Es Sénia is a commune and suburb of Oran in northwestern Algeria, known for hosting the region’s main international airport and various industrial and educational facilities.
-
B.
Leintwardine
Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
-
C.
Senne
The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
-
D.
Titsey
Titsey is a small rural village and civil parish in Surrey, England, known for its historic estate and scenic countryside near the North Downs.
-
E.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd883e5e10819091e159dfd245e94d |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac6285081909afa6e91a023f6d5 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3c43ffe88190b8d2a10ea8a9a455 |
completed | March 22, 2026, 12:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3ce7d6388190a9cd22f76f4420e0 |
completed | March 22, 2026, 12:50 a.m. |
Created at: March 20, 2026, 2:06 p.m.