Triple
T2234699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartford |
E49251
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | DARTFORD |
E49251
|
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: DARTFORD | Statement: [Dartford, postTown, DARTFORD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DARTFORD Context triple: [Dartford, postTown, DARTFORD]
-
A.
Dartford
chosen
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
-
B.
Maidstone
Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
-
C.
Folkestone
Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
-
D.
Edenbridge
Edenbridge is a small historic town in Kent, England, known for its medieval buildings and annual bonfire celebrations.
-
E.
Margate
Margate is a historic seaside resort town on the north coast of Kent in southeast England, known for its sandy beaches, amusement attractions, and vibrant arts scene.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95fb20b88190b7e959b5d718fe73 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:47 p.m.