Triple
T10154041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skerton Island |
E232723
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Skerton
Skerton is a nearby mainland locality or settlement associated with Skerton Island, likely serving as the closest inhabited area or reference point for the island’s position.
|
E843584
|
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: Skerton | Statement: [Skerton Island, locatedNear, Skerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skerton Context triple: [Skerton Island, locatedNear, Skerton]
-
A.
Scorton
Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
-
B.
Kellerton
Kellerton is a small town located in Ringgold County in southern Iowa, United States.
-
C.
Thankerton
Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
-
D.
Sherkston
Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
-
E.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
- 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: Skerton Triple: [Skerton Island, locatedNear, Skerton]
Generated description
Skerton is a nearby mainland locality or settlement associated with Skerton Island, likely serving as the closest inhabited area or reference point for the island’s position.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skerton Target entity description: Skerton is a nearby mainland locality or settlement associated with Skerton Island, likely serving as the closest inhabited area or reference point for the island’s position.
-
A.
Scorton
Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
-
B.
Kellerton
Kellerton is a small town located in Ringgold County in southern Iowa, United States.
-
C.
Thankerton
Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
-
D.
Sherkston
Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
-
E.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec376cd48190990862c56c3a4dce |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e6541e488190814e6395f219eb12 |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e7408e58819083c43e334a87a09f |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7b854d08190ac2af642970b7f09 |
completed | April 5, 2026, 10:52 p.m. |
Created at: March 30, 2026, 9:08 p.m.