Triple
T13570752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxon Shore forts |
E324152
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Brancaster |
E316234
|
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: Brancaster | Statement: [Saxon Shore forts, hasPart, Brancaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brancaster Context triple: [Saxon Shore forts, hasPart, Brancaster]
-
A.
Brancaster
chosen
Brancaster is a coastal village in Norfolk, England, known for its expansive sandy beach, salt marshes, and rich maritime and Roman history.
-
B.
Hunstanton
Hunstanton is a seaside town on the north coast of Norfolk, England, known for its distinctive striped cliffs and sandy beaches on The Wash.
-
C.
Salperwick
Salperwick is a small commune in northern France located within the Pas-de-Calais department.
-
D.
Mablethorpe
Mablethorpe is a seaside town on the Lincolnshire coast of England, known for its sandy beaches and traditional holiday attractions.
-
E.
Oxburgh
Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00f5b8881908617f42d227ed137 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb61a40819099a62f65a68dff7b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.