Triple
T697053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomeryshire |
E13915
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Berriew
Berriew is a picturesque village in Powys, Wales, known for its historic architecture and scenic location near the River Severn.
|
E112657
|
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: Berriew | Statement: [Montgomeryshire, containsSettlement, Berriew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berriew Context triple: [Montgomeryshire, containsSettlement, Berriew]
-
A.
Llanbedr
Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
-
B.
Pencoed
Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
-
C.
Tywyn
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
-
D.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
E.
Llandewey
Llandewey is a rural settlement in the parish of St. Thomas in eastern Jamaica, known for its mountainous terrain and susceptibility to flooding and landslides.
- 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: Berriew Triple: [Montgomeryshire, containsSettlement, Berriew]
Generated description
Berriew is a picturesque village in Powys, Wales, known for its historic architecture and scenic location near the River Severn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berriew Target entity description: Berriew is a picturesque village in Powys, Wales, known for its historic architecture and scenic location near the River Severn.
-
A.
Llanbedr
Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
-
B.
Pencoed
Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
-
C.
Tywyn
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
-
D.
Llanelltyd
Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
-
E.
Llandewey
Llandewey is a rural settlement in the parish of St. Thomas in eastern Jamaica, known for its mountainous terrain and susceptibility to flooding and landslides.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c8055881909565ebde2be8fd7a |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a9338feedc8190bc5f489428babd82 |
completed | March 5, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69a94f32b2648190992e3265a7feaf93 |
completed | March 5, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aabb6704048190886eea7d07b6100d |
completed | March 6, 2026, 11:32 a.m. |
Created at: March 1, 2026, 7:36 p.m.