Triple
T21000564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonersh |
E517274
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Blackheath |
—
|
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: Blackheath | Statement: [Wonersh, hasSettlement, Blackheath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackheath Context triple: [Wonersh, hasSettlement, Blackheath]
-
A.
Blackheath
Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
-
B.
Blackheath
chosen
Blackheath is a large open common and residential area in southeast London, known for hosting major events and serving as the traditional starting point of the London Marathon.
-
C.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
-
D.
Thornton Heath
Thornton Heath is a diverse residential district in South London known for its vibrant multicultural community and strong transport links into central London.
-
E.
Gants Hill
Gants Hill is a suburban district in northeast London known for its busy road junction, Underground station on the Central line, and mix of residential and commercial areas.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.