Triple
T6882479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's College Hospital |
E158830
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Denmark Hill |
E169926
|
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: Denmark Hill | Statement: [King's College Hospital, hasCampus, Denmark Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denmark Hill Context triple: [King's College Hospital, hasCampus, Denmark Hill]
-
A.
Denmark Hill
chosen
Denmark Hill is a district in southeast London, England, known for its residential character, green spaces, and proximity to major hospitals and educational institutions.
-
B.
Muswell Hill
Muswell Hill is a leafy, affluent suburban district in North London known for its Edwardian architecture, village-like high street, and panoramic views over the city.
-
C.
Coal Hill
Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
-
D.
Islington Green
Islington Green is a small historic public park and open space in the London Borough of Islington, known as a local gathering spot surrounded by shops, cafes, and busy streets.
-
E.
Quarry Hill
Quarry Hill is an area in central Leeds, England, known for its cultural institutions and urban redevelopment.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e90c9481908d00634f67fa71f8 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769f2269c8190a476287a8ad4bec9 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:23 p.m.