Triple
T11252569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Fowey |
E266353
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Lerryn
Lerryn is a small riverside village in Cornwall, England, known for its picturesque setting on a tidal creek and historic stepping stones across the water.
|
E914427
|
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: Lerryn | Statement: [River Fowey, flowsThrough, Lerryn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerryn Context triple: [River Fowey, flowsThrough, Lerryn]
-
A.
Nefyn
Nefyn is a small coastal town on the Llŷn Peninsula in north-west Wales, known for its sandy beach and maritime heritage.
-
B.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
-
C.
Towyn
Towyn is a coastal town in Gwynedd, Wales, known historically as a seaside resort and for its proximity to the Dysynni Valley and the Cambrian Coast railway.
-
D.
Nantmor
Nantmor is a small rural village in Gwynedd, North Wales, known for its scenic location in Snowdonia near the Aberglaslyn Pass and its popular walking routes.
-
E.
Haverigg
Haverigg is a coastal village in Cumbria, England, known for its sandy beach, dunes, and proximity to the Lake District.
- 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: Lerryn Triple: [River Fowey, flowsThrough, Lerryn]
Generated description
Lerryn is a small riverside village in Cornwall, England, known for its picturesque setting on a tidal creek and historic stepping stones across the water.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lerryn Target entity description: Lerryn is a small riverside village in Cornwall, England, known for its picturesque setting on a tidal creek and historic stepping stones across the water.
-
A.
Nefyn
Nefyn is a small coastal town on the Llŷn Peninsula in north-west Wales, known for its sandy beach and maritime heritage.
-
B.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
-
C.
Towyn
Towyn is a coastal town in Gwynedd, Wales, known historically as a seaside resort and for its proximity to the Dysynni Valley and the Cambrian Coast railway.
-
D.
Nantmor
Nantmor is a small rural village in Gwynedd, North Wales, known for its scenic location in Snowdonia near the Aberglaslyn Pass and its popular walking routes.
-
E.
Haverigg
Haverigg is a coastal village in Cumbria, England, known for its sandy beach, dunes, and proximity to the Lake District.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc8599588190b510cf888ec42e34 |
completed | April 19, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69e4d9eb79608190b7ed108906f4e2bf |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4df50eebc8190a4fe0aba7dc9fa62 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:31 p.m.