Triple
T4837943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broseley |
E108106
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Barrow |
E184032
|
NE FINISHED |
How this triple was built (2 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: Barrow | Statement: [Broseley, hasNeighbouringSettlement, Barrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrow Context triple: [Broseley, hasNeighbouringSettlement, Barrow]
-
A.
Barrow
Barrow is a village and civil parish in the county of Suffolk in eastern England.
-
B.
Barrow
chosen
Barrow is a small village and civil parish in Lancashire, England, situated within the Ribble Valley district.
-
C.
Barrow
Barrow is the former English name of Utqiaġvik, a remote Arctic coastal city in northern Alaska known as one of the northernmost settlements in the United States.
-
D.
Thurso
Thurso is a coastal town in the far north of Scotland, known as a gateway to the Highlands and a popular spot for surfing and access to the Orkney Islands.
-
E.
Blyth
Blyth is a coastal town and port in southeast Northumberland, England, known historically for coal mining and shipbuilding.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce2e810819089f9a3f2a7574d44 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc054ac819099d6d3dbf415e710 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.