Triple
T9399229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Nkonyeni Local Municipality |
E226424
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | Margate |
E779559
|
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: [Ray Nkonyeni Local Municipality, administers, Margate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margate Context triple: [Ray Nkonyeni Local Municipality, administers, Margate]
-
A.
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.
-
B.
Margate
chosen
Margate is a popular seaside resort town on South Africa’s KwaZulu-Natal coast, known for its beaches and holiday tourism.
-
C.
Margate City
Margate City is a small coastal resort community on Absecon Island in Atlantic County, New Jersey, known for its beaches and the historic Lucy the Elephant attraction.
-
D.
Fareham
Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
-
E.
Maidstone
Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51556fc08190b8ff8190a1485a3a |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14be2c3d081908f641d8b85b26ced |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:46 p.m.