Triple
T5200015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Somerset |
E117369
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nailsea |
E289777
|
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: Nailsea | Statement: [North Somerset, contains, Nailsea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nailsea Context triple: [North Somerset, contains, Nailsea]
-
A.
Nailsea
chosen
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
-
B.
Torquay
Torquay is a coastal suburb of Hervey Bay in Queensland, Australia, known for its beaches and tourism amenities.
-
C.
Torquay
Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
-
D.
Weston-super-Mare
Weston-super-Mare is a seaside town on the Bristol Channel in North Somerset, England, known for its long sandy beach, traditional pier, and Victorian resort heritage.
-
E.
Yeovilton
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a209d7c81908fa0d3bf2c482a34 |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21a819f08190a67a92d8afa82e22 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:47 p.m.