Triple
T11925724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waveney district |
E283777
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Kessingland |
E299696
|
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: Kessingland | Statement: [Waveney district, containsVillage, Kessingland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kessingland Context triple: [Waveney district, containsVillage, Kessingland]
-
A.
Kessingland
chosen
Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
-
B.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
C.
Birkholm
Birkholm is a small, sparsely populated Danish island known for its tranquil natural environment and traditional village atmosphere in the South Funen Archipelago.
-
D.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
E.
Kildonan
Kildonan is a small settlement on the island of South Uist in Scotland’s Outer Hebrides.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440525e9881909b21df139d97d986 |
completed | May 1, 2026, 5:55 a.m. |
Created at: April 8, 2026, 9:45 p.m.