Triple
T23353891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islands of the Lake District |
E592991
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | House 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: House Holme | Statement: [Islands of the Lake District, hasPart, House Holme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: House Holme Context triple: [Islands of the Lake District, hasPart, House Holme]
-
A.
House Holm
chosen
House Holm is a small island located on Ullswater, one of the principal lakes in England’s Lake District.
-
B.
Haddon Hall
Haddon Hall is a well-preserved medieval and Tudor country house in Derbyshire, England, renowned for its historic architecture and picturesque riverside setting.
-
C.
Holworthy Hall
Holworthy Hall is one of Harvard University's historic freshman dormitories located in Harvard Yard.
-
D.
Green Hall
Green Hall is the main academic and administrative building that houses the University of Kansas School of Law.
-
E.
Hatfield Woodhouse
Hatfield Woodhouse is a small village in South Yorkshire, England, situated near Doncaster and surrounded by rural farmland and woodland.
- 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.