Triple
T2548381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glympton Park |
E57959
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Glympton |
E123077
|
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: Glympton | Statement: [Glympton Park, locatedIn, Glympton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glympton Context triple: [Glympton Park, locatedIn, Glympton]
-
A.
Glympton
chosen
Glympton is a small rural village in Oxfordshire, England, known for its historic manor and traditional English countryside setting.
-
B.
Swinbrook
Swinbrook is a small, picturesque village in rural Oxfordshire, England, known for its traditional stone cottages and historic church.
-
C.
Crowland
Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
-
D.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
E.
Culcheth
Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e7cd4c8190a52cbbf1229441a6 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d0e6e188190be190965cc02838e |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.