Triple
T6568922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fforest Fawr |
E155383
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Powys |
E45376
|
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: Powys | Statement: [Fforest Fawr, locatedIn, Powys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Powys Context triple: [Fforest Fawr, locatedIn, Powys]
-
A.
Powys
chosen
Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
-
B.
Merionethshire
Merionethshire is a historic county in northwest Wales known for its rugged mountainous landscapes and rural character.
-
C.
Montgomeryshire
Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
-
D.
Denbighshire
Denbighshire is a historic and principal county in north-east Wales, known for its rural landscapes, market towns, and sections of the Clwydian Range and Dee Valley Area of Outstanding Natural Beauty.
-
E.
Ceredigion
Ceredigion is a coastal county in west Wales known for its rugged Cardigan Bay shoreline, rural landscapes, and Welsh-speaking communities.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae56116c81909ab2fc0877363406 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c922a0d2688190982714e2e409465d |
completed | March 29, 2026, 1:01 p.m. |
Created at: March 27, 2026, 1:53 p.m.