Triple
T4267972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historic county of Kent |
E96870
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Margate |
E46362
|
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: Margate | Statement: [historic county of Kent, contains, Margate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margate Context triple: [historic county of Kent, contains, Margate]
-
A.
Margate
chosen
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.
-
B.
Fareham
Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
-
C.
Maidstone
Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
-
D.
Ramsgate
Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
-
E.
Richborough
Richborough is a historic site in Kent, England, known for its significant Roman remains and its role as a key gateway to Roman Britain.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fce710481909d90ed4a3d150fde |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0665b548190b6a26cda97cb7f9b |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:07 p.m.