Triple
T6996709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westmorland and Furness |
E162232
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Shap
Shap is a small village in Cumbria, England, known for its historic abbey ruins and proximity to the Lake District.
|
E635237
|
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: Shap | Statement: [Westmorland and Furness, containsSettlement, Shap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shap Context triple: [Westmorland and Furness, containsSettlement, Shap]
-
A.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
B.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
-
C.
Lilliwaup
Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
-
D.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
E.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
- 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: Shap Triple: [Westmorland and Furness, containsSettlement, Shap]
Generated description
Shap is a small village in Cumbria, England, known for its historic abbey ruins and proximity to the Lake District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shap Target entity description: Shap is a small village in Cumbria, England, known for its historic abbey ruins and proximity to the Lake District.
-
A.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
B.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
-
C.
Lilliwaup
Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
-
D.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
E.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbedafa48190af0d2b47e3a1e17e |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2465908190b69454f6215365b0 |
completed | March 28, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69c76b67fc48819088ba80f1f84aa2f0 |
completed | March 28, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76c46f9308190a7a1f0aa5284cef4 |
completed | March 28, 2026, 5:51 a.m. |
Created at: March 27, 2026, 2:32 p.m.