Triple
T23353890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islands of the Lake District |
E592991
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bee Holme |
—
|
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: Bee Holme | Statement: [Islands of the Lake District, hasPart, Bee Holme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bee Holme Context triple: [Islands of the Lake District, hasPart, Bee Holme]
-
A.
Bee Holme
chosen
Bee Holme is a small island located near Belle Isle in England’s Lake District, within Lake Windermere.
-
B.
Rebecca Harris
Rebecca Harris is a fictional character portrayed by Jennifer Carpenter, best known as the determined FBI agent in the television series "Limitless."
-
C.
Rebecca Harris
Rebecca Harris is an actress known for her role in the television series "Outsiders."
-
D.
Laura Haddock
Laura Haddock is an English actress known for her roles in films like "Guardians of the Galaxy" and various British television series.
-
E.
Anne Beatts
Anne Beatts was an American comedy writer and producer best known for her pioneering work on Saturday Night Live and for creating influential, offbeat television comedy.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a15d0a48190862179254c09c6d1 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.