Triple
T1066049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edale |
E23211
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mam Tor |
E113158
|
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: Mam Tor | Statement: [Edale, near, Mam Tor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mam Tor Context triple: [Edale, near, Mam Tor]
-
A.
Mam Tor
chosen
Mam Tor is a prominent hill in the Peak District of England, noted for its dramatic landslips, Iron Age hillfort, and extensive walking trails with panoramic views.
-
B.
Maerdy
Maerdy is a former coal mining village located at the head of the Rhondda Fach valley in Rhondda Cynon Taf, South Wales.
-
C.
Bleaklow
Bleaklow is a high, windswept peat moorland plateau in the Peak District of England, known for its remote, boggy terrain and challenging hiking routes.
-
D.
Ill Crag
Ill Crag is a prominent high fell in England’s Lake District, forming part of the Scafell massif and offering rugged terrain and expansive mountain views.
-
E.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b910c6d481909c56f961a0e8720c |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8303cbec8190a3b8a9bad2434ee7 |
completed | March 7, 2026, 7:56 p.m. |
Created at: March 1, 2026, 7:42 p.m.