Triple
T21778716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gosforth (civil parish) |
E537648
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object | Copeland |
—
|
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: Copeland | Statement: [Gosforth (civil parish), category, Copeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copeland Context triple: [Gosforth (civil parish), category, Copeland]
-
A.
Copeland
chosen
Copeland is a local government district in Cumbria, England, known for its coastal towns, parts of the Lake District National Park, and the Sellafield nuclear facility.
-
B.
Kiffin
Kiffin is the surname of Lane Kiffin, a prominent American football coach known for leading several major college and NFL teams.
-
C.
Boyland
Boyland is a rural locality in Queensland, Australia, known for its scenic countryside within the Scenic Rim region.
-
D.
Conerly
Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
-
E.
Callen
Callen is a fictional undercover operative and lead character in the television series "NCIS: Los Angeles," known for his mysterious past and exceptional investigative skills.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462b094c81908207073c278a58fe |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.