Triple
T10270839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanberis Pass |
E240829
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Snowdon Horseshoe |
E322722
|
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 Horseshoe | Statement: [Llanberis Pass, hasViewOf, Snowdon Horseshoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowdon Horseshoe Context triple: [Llanberis Pass, hasViewOf, Snowdon Horseshoe]
-
A.
Mosedale Horseshoe
Mosedale Horseshoe is a classic circular fell-walking route in the Lake District, known for its sweeping ridge views and encompassing several prominent peaks.
-
B.
Crib Goch
Crib Goch is a narrow, knife-edge arête in Snowdonia, Wales, famed for its exposed scrambling route to the summit of Snowdon.
-
C.
Snowdon Massif
chosen
Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
-
D.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
E.
Snowdon
Snowdon is a major Montreal Metro station in the Côte-des-Neiges–Notre-Dame-de-Grâce borough that serves as an important transfer point between multiple subway lines.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d27235ec819086152771206453f2 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71ceeeec88190a36a5e67dc44cfe1 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:35 a.m.