Triple
T4499307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hook Norton |
E100778
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Swerford |
E106204
|
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: Swerford | Statement: [Hook Norton, hasNearbyPlace, Swerford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swerford Context triple: [Hook Norton, hasNearbyPlace, Swerford]
-
A.
Swerford
chosen
Swerford is a small rural village in Oxfordshire, England, known for its historic stone cottages and picturesque countryside setting.
-
B.
Bardwell
Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
-
C.
Snodland
Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
-
D.
Stopford
Stopford refers to Lieutenant-General Sir Montagu Stopford, a British Army officer who played a key leadership role in the Burma Campaign of World War II, particularly noted for his command in the Southeast Asian theater.
-
E.
Felpersham
Felpersham is a fictional cathedral city in the long-running BBC radio drama "The Archers," serving as a key urban center near the village of Ambridge.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c29868819097633c7cd398e865 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f89114081908adbd8e78d4c8ec4 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.