Triple
T3293879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4 road |
E69163
|
entity |
| Predicate | runsTo |
P2127
|
FINISHED |
| Object | Avonmouth |
E231309
|
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: Avonmouth | Statement: [A4 road, runsTo, Avonmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avonmouth Context triple: [A4 road, runsTo, Avonmouth]
-
A.
Avonmouth
chosen
Avonmouth is a port and industrial district on the Severn Estuary near Bristol in southwest England.
-
B.
Nailsea
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
-
C.
Clevedon
Clevedon is a coastal town in southwest England known for its Victorian pier and views across the Severn Estuary.
-
D.
Crich
Crich is a village in Derbyshire, England, known for its historic tramway museum and scenic location on the edge of the Peak District.
-
E.
Sutton Harbour
Sutton Harbour is a historic waterfront area and marina in Plymouth, England, known for its fishing fleet, leisure boats, and proximity to the city’s old Barbican district.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb074f35081909dd3c8a09544b5f1 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86b8e04819091f4a4ae6d6a87ad |
completed | March 12, 2026, 4:23 p.m. |
Created at: March 8, 2026, 3:10 p.m.