Triple
T18866481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehaven |
E461450
|
entity |
| Predicate | hasNeighbouringTown |
P3883
|
FINISHED |
| Object |
Egremont
Egremont is a small market town in Cumbria, England, known for its historic castle ruins and annual Crab Fair.
|
E1400211
|
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: Egremont | Statement: [Whitehaven, hasNeighbouringTown, Egremont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egremont Context triple: [Whitehaven, hasNeighbouringTown, Egremont]
-
A.
Egremont
Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
-
B.
Egremont
Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
-
C.
Uxbridge
Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
-
D.
Uxbridge
Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
-
E.
Turnford
Turnford is a village and residential area in the Broxbourne district of Hertfordshire, England, forming part of the London commuter belt.
- 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: Egremont Triple: [Whitehaven, hasNeighbouringTown, Egremont]
Generated description
Egremont is a small market town in Cumbria, England, known for its historic castle ruins and annual Crab Fair.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egremont Target entity description: Egremont is a small market town in Cumbria, England, known for its historic castle ruins and annual Crab Fair.
-
A.
Egremont
Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
-
B.
Egremont
Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
-
C.
Uxbridge
Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
-
D.
Uxbridge
Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
-
E.
Turnford
Turnford is a village and residential area in the Broxbourne district of Hertfordshire, England, forming part of the London commuter belt.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a617548190be6044bf2c3de6d0 |
completed | April 20, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dba9ca90819093aed4141d589d58 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dd4080a48190adc444976042bfa8 |
completed | May 16, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07de09b21c8190a9743ee145a3d9b7 |
completed | May 16, 2026, 3:01 a.m. |
Created at: April 10, 2026, 11:57 a.m.