Triple
T2156565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowdonia |
E47901
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Moel Hebog
Moel Hebog is a prominent mountain in North Wales known for its rugged slopes and panoramic views over the surrounding Snowdonia landscape.
|
E245121
|
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: Moel Hebog | Statement: [Snowdonia, contains, Moel Hebog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moel Hebog Context triple: [Snowdonia, contains, Moel Hebog]
-
A.
Pen y Fan
Pen y Fan is a prominent mountain in South Wales known for its sweeping views and popularity with hikers and outdoor enthusiasts.
-
B.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
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.
Taf Fawr
Taf Fawr is one of the principal headwater streams of the River Taff in South Wales, flowing through the Brecon Beacons before joining with other tributaries to form the main river.
-
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. 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: Moel Hebog Triple: [Snowdonia, contains, Moel Hebog]
Generated description
Moel Hebog is a prominent mountain in North Wales known for its rugged slopes and panoramic views over the surrounding Snowdonia landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moel Hebog Target entity description: Moel Hebog is a prominent mountain in North Wales known for its rugged slopes and panoramic views over the surrounding Snowdonia landscape.
-
A.
Pen y Fan
Pen y Fan is a prominent mountain in South Wales known for its sweeping views and popularity with hikers and outdoor enthusiasts.
-
B.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
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.
Taf Fawr
Taf Fawr is one of the principal headwater streams of the River Taff in South Wales, flowing through the Brecon Beacons before joining with other tributaries to form the main river.
-
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. 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe67d6888190b8d3c07527c8f80e |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6538c750819093d2e3f8e5f66a63 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6656f7788190818179d923b11bba |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66cc3ac0819096e3f246b10e7761 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.