Triple
T22070276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copeland Borough Council |
E545387
|
entity |
| Predicate | hadJurisdictionOver |
P808
|
FINISHED |
| Object | Egremont |
—
|
NE NERFINISHED |
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: Egremont | Statement: [Copeland Borough Council, hadJurisdictionOver, Egremont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egremont Context triple: [Copeland Borough Council, hadJurisdictionOver, 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.
Egremont
chosen
Egremont is a small market town in Cumbria, England, known for its historic castle ruins and annual Crab Fair.
-
D.
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.
-
E.
Uxbridge
Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128881af481909b28cda2d343f4e3 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.