Triple
T21290786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A299 road |
E524781
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Minster-in-Thanet |
—
|
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: Minster-in-Thanet | Statement: [A299 road, passesNear, Minster-in-Thanet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minster-in-Thanet Context triple: [A299 road, passesNear, Minster-in-Thanet]
-
A.
Minster
chosen
Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
-
B.
Minster
Minster is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its historic abbey and seaside character.
-
C.
Minster
Minster is a small village in western Ohio known for its strong German heritage and annual Oktoberfest celebration.
-
D.
Minster-on-Sea
Minster-on-Sea is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its beaches and residential communities.
-
E.
Wrotham
Wrotham is a historic village in Kent, England, known for its traditional architecture and rural setting near the North Downs.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d9467881908ec5b1dec76e6f5d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.