Triple
T17788682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellingham |
E444091
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Sydenham |
—
|
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: Sydenham | Statement: [Bellingham, near, Sydenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydenham Context triple: [Bellingham, near, Sydenham]
-
A.
Sydenham
chosen
Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
-
B.
Sydenham
Sydenham is a district in east Belfast, Northern Ireland, known for its residential areas and proximity to key transport links including George Best Belfast City Airport.
-
C.
Sydenham
Sydenham is the former name of the Canadian city now known as Owen Sound in Ontario.
-
D.
Moorfield
Moorfield is a given name most notably borne by Moorfield Storey, an American lawyer and civil rights leader who served as the first president of the NAACP.
-
E.
Winster
Winster is a historic village in England’s Peak District, known for its traditional stone houses, former lead-mining heritage, and well-preserved conservation area.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879524bc819090855ab5248c73db |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.