Triple
T20370263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Grey of Groby |
E497031
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Groby |
—
|
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: Groby | Statement: [Lady Grey of Groby, associatedWithPlace, Groby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groby Context triple: [Lady Grey of Groby, associatedWithPlace, Groby]
-
A.
Groby
chosen
Groby is a village in Leicestershire, England, known for its historic quarrying industry and proximity to the city of Leicester.
-
B.
Gallowflat
Gallowflat is a residential area within the town of Rutherglen in South Lanarkshire, Scotland.
-
C.
Gilberdyke
Gilberdyke is a village and civil parish in the East Riding of Yorkshire, England, situated within the rural district of Howdenshire.
-
D.
Gudgenby
Gudgenby is a rural locality in the Australian Capital Territory known for its natural landscapes and proximity to the Gudgenby River and Namadgi National Park.
-
E.
Mound of Down
The Mound of Down is an ancient earthwork fortification and historic site near Downpatrick in County Down, Northern Ireland.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678758b98819082c6440e03ad1615 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.