Triple
T1048968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scafell Pike |
E22649
|
entity |
| Predicate | parentPeak |
P1319
|
FINISHED |
| Object | Snowdon |
E61320
|
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: Snowdon | Statement: [Scafell Pike, parentPeak, Snowdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowdon Context triple: [Scafell Pike, parentPeak, Snowdon]
-
A.
Snowdon
chosen
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
B.
Snowdonia
Snowdonia is a mountainous region and national park in northwest Wales, renowned for its rugged landscapes, lakes, and the highest peak in Wales, Mount Snowdon.
-
C.
Maerdy
Maerdy is a former coal mining village located at the head of the Rhondda Fach valley in Rhondda Cynon Taf, South Wales.
-
D.
Ben More
Ben More is a prominent mountain on the Isle of Mull in Scotland, known for being the island’s only Munro and a popular destination for hikers.
-
E.
Mam Tor
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.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53864a20819081fc59e7102a6e00 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:42 p.m.