Triple
T2765207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowdon |
E61320
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Snowdon Massif
Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
|
E322722
|
NE FINISHED |
How this triple was built (4 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 Massif | Statement: [Snowdon, partOf, Snowdon Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowdon Massif Context triple: [Snowdon, partOf, Snowdon Massif]
-
A.
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.
-
B.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
C.
Tryfan
Tryfan is a distinctive, rugged mountain in Snowdonia, Wales, famed for its jagged profile and popular scrambling routes.
-
D.
Clwydian Range
The Clwydian Range is a series of heather-clad hills in northeast Wales, renowned for its scenic ridges, Iron Age hillforts, and designation as an Area of Outstanding Natural Beauty.
-
E.
Eryri
Eryri is the Welsh name for Snowdonia, a mountainous national park in northwest Wales known for its rugged peaks, lakes, and scenic landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Snowdon Massif Triple: [Snowdon, partOf, Snowdon Massif]
Generated description
Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowdon Massif Target entity description: Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
-
A.
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.
-
B.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
C.
Tryfan
Tryfan is a distinctive, rugged mountain in Snowdonia, Wales, famed for its jagged profile and popular scrambling routes.
-
D.
Clwydian Range
The Clwydian Range is a series of heather-clad hills in northeast Wales, renowned for its scenic ridges, Iron Age hillforts, and designation as an Area of Outstanding Natural Beauty.
-
E.
Eryri
Eryri is the Welsh name for Snowdonia, a mountainous national park in northwest Wales known for its rugged peaks, lakes, and scenic landscapes.
- F. None of above. chosen
Provenance (5 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd55a96c8190a109a1f0e8752477 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eed270f881909f907890f5fac412 |
completed | March 11, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69b1f010f2e881909f95a7a70b827851 |
completed | March 11, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f043ffb4819095fef9d4ddc8d962 |
completed | March 11, 2026, 10:44 p.m. |
Created at: March 6, 2026, 9:57 p.m.