Triple
T14621227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Furness |
E343225
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Leece
Leece is a small rural village in the Low Furness area of Cumbria, England.
|
E1111107
|
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: Leece | Statement: [Low Furness, containsSettlement, Leece]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leece Context triple: [Low Furness, containsSettlement, Leece]
-
A.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
-
B.
Lee
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
-
C.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
D.
Leeves
Leeves is a surname most notably associated with English actress Jane Leeves, known for her role as Daphne Moon on the television series "Frasier."
-
E.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
- 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: Leece Triple: [Low Furness, containsSettlement, Leece]
Generated description
Leece is a small rural village in the Low Furness area of Cumbria, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leece Target entity description: Leece is a small rural village in the Low Furness area of Cumbria, England.
-
A.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
-
B.
Lee
Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
-
C.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
D.
Leeves
Leeves is a surname most notably associated with English actress Jane Leeves, known for her role as Daphne Moon on the television series "Frasier."
-
E.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92688a08190bb27434acc7c12e7 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb2994f2c8190960bd8a27e303cdb |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb40ee364819087c371fa1e25506c |
completed | May 8, 2026, 9:59 a.m. |
Created at: April 10, 2026, 1:25 a.m.