Triple
T490841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wales |
E9984
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
|
E61320
|
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 | Statement: [Wales, highestPoint, Snowdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowdon Context triple: [Wales, highestPoint, Snowdon]
-
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.
Scafell Pike
Scafell Pike is the highest mountain in England, located in the Lake District National Park.
-
C.
Aran Fawddwy
Aran Fawddwy is a prominent mountain in southern Snowdonia, Wales, known for being one of the highest peaks in the region outside the main Snowdon massif.
-
D.
Ben Nevis
Ben Nevis is the tallest mountain in the British Isles, located near Fort William in the Scottish Highlands and popular for hiking and climbing.
-
E.
White Peak
White Peak is the limestone plateau region of England’s Peak District, known for its rolling dales, dry stone walls, and pastoral 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 Triple: [Wales, highestPoint, Snowdon]
Generated description
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowdon Target entity description: Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
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.
Scafell Pike
Scafell Pike is the highest mountain in England, located in the Lake District National Park.
-
C.
Aran Fawddwy
Aran Fawddwy is a prominent mountain in southern Snowdonia, Wales, known for being one of the highest peaks in the region outside the main Snowdon massif.
-
D.
Ben Nevis
Ben Nevis is the tallest mountain in the British Isles, located near Fort William in the Scottish Highlands and popular for hiking and climbing.
-
E.
White Peak
White Peak is the limestone plateau region of England’s Peak District, known for its rolling dales, dry stone walls, and pastoral 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e22a308190b04d12974fd08a38 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4778034fc8190bedcc537fed5cef9 |
completed | March 1, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69a4789d8f8081908ed56a780d5e62b3 |
completed | March 1, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4790ff80481909596be35d493f6d1 |
completed | March 1, 2026, 5:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.