Triple
T2599514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwynedd |
E58308
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Conwy
Conwy is a county borough in north Wales known for its historic walled town, medieval castle, and scenic coastal and mountainous landscapes.
|
E294087
|
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: Conwy | Statement: [Gwynedd, borders, Conwy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conwy Context triple: [Gwynedd, borders, Conwy]
-
A.
Ffestiniog
Ffestiniog is a historic town in north Wales, known for its slate quarrying heritage and proximity to the scenic landscapes of Snowdonia.
-
B.
Dyffryn Ardudwy
Dyffryn Ardudwy is a coastal village in Gwynedd, Wales, known for its prehistoric burial chambers and location between the Rhinogydd mountains and Cardigan Bay.
-
C.
Meirionnydd
Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
-
D.
Dyffryn
Dyffryn is an electoral ward and community area within the county borough of Neath Port Talbot in South Wales.
-
E.
Dyffryn Ogwen
Dyffryn Ogwen is a scenic valley in north-west Wales known for its dramatic mountain landscapes, rivers, and walking routes within the Snowdonia region.
- 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: Conwy Triple: [Gwynedd, borders, Conwy]
Generated description
Conwy is a county borough in north Wales known for its historic walled town, medieval castle, and scenic coastal and mountainous landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conwy Target entity description: Conwy is a county borough in north Wales known for its historic walled town, medieval castle, and scenic coastal and mountainous landscapes.
-
A.
Ffestiniog
Ffestiniog is a historic town in north Wales, known for its slate quarrying heritage and proximity to the scenic landscapes of Snowdonia.
-
B.
Dyffryn Ardudwy
Dyffryn Ardudwy is a coastal village in Gwynedd, Wales, known for its prehistoric burial chambers and location between the Rhinogydd mountains and Cardigan Bay.
-
C.
Meirionnydd
Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
-
D.
Dyffryn
Dyffryn is an electoral ward and community area within the county borough of Neath Port Talbot in South Wales.
-
E.
Dyffryn Ogwen
Dyffryn Ogwen is a scenic valley in north-west Wales known for its dramatic mountain landscapes, rivers, and walking routes within the Snowdonia region.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd457564c819080d8c8818c02545a |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb123148190bca17d1b70fe5245 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc1ea9d88190a95dff358ae6f1b9 |
completed | March 10, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbc77c524819083eec069d2ecc88b |
completed | March 10, 2026, 6:38 a.m. |
Created at: March 6, 2026, 9:49 p.m.