Triple
T22551215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanyon Quoit |
E557560
|
entity |
| Predicate | hasNearbySite |
P350
|
FINISHED |
| Object | Chûn Quoit |
—
|
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: Chûn Quoit | Statement: [Lanyon Quoit, hasNearbySite, Chûn Quoit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chûn Quoit Context triple: [Lanyon Quoit, hasNearbySite, Chûn Quoit]
-
A.
Chûn Quoit
chosen
Chûn Quoit is a well-preserved Neolithic chambered tomb and dolmen in Cornwall, England, notable for its massive capstone and prehistoric archaeological significance.
-
B.
Quarndon
Quarndon is a small village and civil parish in Derbyshire, England, situated just north of the city of Derby.
-
C.
Ballonlea
Ballonlea is a small, fairy-tale-like town in the Galar region of the Pokémon world, known for its glowing forests and association with Fairy-type Pokémon.
-
D.
Stow cum Quy
Stow cum Quy is a small rural village and civil parish in Cambridgeshire, England, known for its historic church and proximity to Cambridge.
-
E.
Quarry
Quarry is a neo-noir television drama series starring Logan Marshall-Green as a Marine sniper struggling to readjust to civilian life in 1970s America while being drawn into a criminal underworld.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7546c4819099942c86ca522a60 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.