Triple
T12555452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Frome (Herefordshire) |
E295202
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bromyard |
E237072
|
NE FINISHED |
How this triple was built (2 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: Bromyard | Statement: [River Frome (Herefordshire), flowsThrough, Bromyard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bromyard Context triple: [River Frome (Herefordshire), flowsThrough, Bromyard]
-
A.
Bromyard
chosen
Bromyard is a small market town in Herefordshire, England, known for its rural setting and traditional local festivals.
-
B.
Bridgnorth
Bridgnorth is a historic market town in Shropshire, England, known for its dramatic position on the River Severn and its high and low town layout linked by a funicular railway.
-
C.
Bromham
Bromham is a village in Wiltshire, England, known in part as the place where the Irish poet and songwriter Thomas Moore died.
-
D.
Bledington
Bledington is a small rural village in the Cotswolds region of Gloucestershire, England, known for its traditional stone cottages and scenic countryside setting.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95490d2708190857f0cb9b8dd6a30 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65587524881908c933490bface976 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:46 p.m.