Triple
T2765245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowdon |
E61320
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object |
Glaslyn
Glaslyn is a small glacial lake nestled high on the eastern slopes of Mount Snowdon in Snowdonia, Wales, known for its striking blue-green waters and dramatic mountain scenery.
|
E298008
|
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: Glaslyn | Statement: [Snowdon, hasNearbyLake, Glaslyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glaslyn Context triple: [Snowdon, hasNearbyLake, Glaslyn]
-
A.
Rhinog Fach
Rhinog Fach is a rugged, rocky mountain in the Rhinogydd range of Snowdonia, Wales, known for its challenging terrain and scenic views.
-
B.
Henllys
Henllys is a residential village and suburb forming part of the Cwmbran area in Torfaen, South Wales.
-
C.
Rougemount
Rougemount is a residential neighbourhood in the city of Pickering, Ontario, located near the Rouge River valley in the eastern Greater Toronto Area.
-
D.
Kilrenny
Kilrenny is a small historic fishing village in the East Neuk area of Fife, Scotland, known for its traditional architecture and coastal character.
-
E.
Talyllyn
Talyllyn is a historic narrow-gauge steam locomotive that operates on the Talyllyn Railway in Wales.
- 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: Glaslyn Triple: [Snowdon, hasNearbyLake, Glaslyn]
Generated description
Glaslyn is a small glacial lake nestled high on the eastern slopes of Mount Snowdon in Snowdonia, Wales, known for its striking blue-green waters and dramatic mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glaslyn Target entity description: Glaslyn is a small glacial lake nestled high on the eastern slopes of Mount Snowdon in Snowdonia, Wales, known for its striking blue-green waters and dramatic mountain scenery.
-
A.
Rhinog Fach
Rhinog Fach is a rugged, rocky mountain in the Rhinogydd range of Snowdonia, Wales, known for its challenging terrain and scenic views.
-
B.
Henllys
Henllys is a residential village and suburb forming part of the Cwmbran area in Torfaen, South Wales.
-
C.
Rougemount
Rougemount is a residential neighbourhood in the city of Pickering, Ontario, located near the Rouge River valley in the eastern Greater Toronto Area.
-
D.
Kilrenny
Kilrenny is a small historic fishing village in the East Neuk area of Fife, Scotland, known for its traditional architecture and coastal character.
-
E.
Talyllyn
Talyllyn is a historic narrow-gauge steam locomotive that operates on the Talyllyn Railway in Wales.
- 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_69afc048bc8481908a6f70e034167c2a |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc14239e48190ad20f660e88befcb |
completed | March 10, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc202466c81908c300520173837dc |
completed | March 10, 2026, 7:02 a.m. |
Created at: March 6, 2026, 9:57 p.m.