Triple
T16310658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheinberg |
E396044
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object | Borth |
E797980
|
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: Borth | Statement: [Rheinberg, subdivision, Borth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borth Context triple: [Rheinberg, subdivision, Borth]
-
A.
Borth
chosen
Borth is a coastal village and seaside resort in Ceredigion, Wales, known for its long sandy beach and nearby nature reserve.
-
B.
Manorbier
Manorbier is a coastal village in Pembrokeshire, Wales, known for its medieval castle, sandy beach, and scenic seaside surroundings.
-
C.
Brean
Brean is a coastal village in Somerset, England, known for its long sandy beach, holiday parks, and proximity to the resort town of Burnham-on-Sea.
-
D.
Moydodyr
Moydodyr is a famous Soviet children's fairy-tale poem and character—a living washstand—created by Korney Chukovsky to teach kids about cleanliness and hygiene.
-
E.
Tresaith
Tresaith is a small seaside village in west Wales known for its sandy beach, coastal waterfall, and position on the Ceredigion Coast Path.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288da27f88190aa241e3addf9cd7f |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.