Triple
T18247328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilford |
E436986
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tilford West Green |
—
|
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: Tilford West Green | Statement: [Tilford, hasPart, Tilford West Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilford West Green Context triple: [Tilford, hasPart, Tilford West Green]
-
A.
Tilford Green
chosen
Tilford Green is a central village green in Tilford, Surrey, known for its picturesque open space and traditional English rural character.
-
B.
Tilford
Tilford is a village in Surrey, England, notable as the location of the international headquarters of the Ahmadiyya Muslim Community.
-
C.
Holmer Green
Holmer Green is a village in Buckinghamshire, England, situated within the Chiltern Hills and functioning largely as a residential commuter community.
-
D.
Tolworth
Tolworth is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, England.
-
E.
Wooburn Green
Wooburn Green is a village and large green in Buckinghamshire, England, situated near High Wycombe in the River Wye valley.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e89b288190a286797ec2cd60a8 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.