Triple
T19956998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate’s Cottage |
E479709
|
entity |
| Predicate | nearTo |
P350
|
FINISHED |
| Object | Creg-ny-Baa |
—
|
NE NERFINISHED |
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: Creg-ny-Baa | Statement: [Kate’s Cottage, nearTo, Creg-ny-Baa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creg-ny-Baa Context triple: [Kate’s Cottage, nearTo, Creg-ny-Baa]
-
A.
Creg-ny-Baa
chosen
Creg-ny-Baa is a famous tight right-hand corner and landmark pub on the Snaefell Mountain Course used for the Isle of Man TT motorcycle races.
-
B.
Bryn-crug
Bryn-crug is a small rural village and community in Gwynedd, Wales, situated near the town of Tywyn in the scenic Dysynni Valley.
-
C.
Rhosneigr
Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
-
D.
Brynbryn
Brynbryn is a small settlement located within the Gaiman Department in the Chubut Province of Argentine Patagonia.
-
E.
Bontnewydd
Bontnewydd is a small village in Gwynedd, north-west Wales, situated near Caernarfon and known for its rural character and Welsh-speaking community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.