Triple
T5726658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wealden District |
E126281
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pevensey |
E327893
|
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: Pevensey | Statement: [Wealden District, contains, Pevensey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pevensey Context triple: [Wealden District, contains, Pevensey]
-
A.
Pevensey
chosen
Pevensey is a historic village and former port in East Sussex, England, known for its Roman fort, medieval castle, and role in the Norman Conquest.
-
B.
Winchelsea
Winchelsea is a historic small town in East Sussex, England, known as one of the medieval Cinque Ports and noted for its well-preserved Georgian and medieval architecture.
-
C.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
-
D.
Whitstable
Whitstable is a coastal town on the north coast of Kent in southeast England, known for its historic oyster fishing industry and pebble beaches.
-
E.
Alfriston
Alfriston is a historic village in East Sussex, England, known for its medieval architecture, riverside setting on the River Cuckmere, and role as a popular walking and tourist destination.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250a7f6c8190a264935086608186 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a86eea0819090bf6f9952d8dcc9 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.