Triple
T7562416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durning Library |
E178824
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Kennington |
E168457
|
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: Kennington | Statement: [Durning Library, location, Kennington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennington Context triple: [Durning Library, location, Kennington]
-
A.
Kennington
Kennington is a village and civil parish in Oxfordshire, England, situated just south of Oxford and known primarily as a residential commuter community.
-
B.
Kennington
chosen
Kennington is a district in Central London, England, known for its residential character and proximity to major landmarks such as the Oval cricket ground and the River Thames.
-
C.
Bermondsey
Bermondsey is a district in southeast London known for its riverside location along the Thames, regenerated warehouse areas, and vibrant food and arts scene.
-
D.
Eltham
Eltham is a suburban district in southeast London, England, known for its historic connections to the monarchy and the presence of the Art Deco–styled Eltham Palace.
-
E.
Eltham
Eltham is a small rural town in New Zealand’s Taranaki Region, known historically for its dairy industry and cheese production.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d42e988190a4b4982c0471d96d |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.