Triple
T4711816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenn's, Whixall and Bettisfield Mosses |
E104528
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Border Mosses |
E463324
|
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: Border Mosses | Statement: [Fenn's, Whixall and Bettisfield Mosses, partOf, Border Mosses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Border Mosses Context triple: [Fenn's, Whixall and Bettisfield Mosses, partOf, Border Mosses]
-
A.
Marches Mosses
chosen
Marches Mosses is a large, internationally important lowland raised bog complex on the English–Welsh border, renowned for its rare wildlife and peatland restoration efforts.
-
B.
Fenn's Moss
Fenn's Moss is a raised peat bog and nature reserve on the English–Welsh border, noted for its rare wildlife and inclusion in one of the largest lowland raised bog systems in Britain.
-
C.
Moss
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
-
D.
Moss
Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
-
E.
Moss
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64049d6c8190be19935048fc6b14 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39ef1bec8190a741a918dd3c3f5a |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:17 p.m.