Triple
T1110041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunbridge Wells borough |
E25572
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ashford borough |
E46676
|
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: Ashford borough | Statement: [Tunbridge Wells borough, borderedBy, Ashford borough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashford borough Context triple: [Tunbridge Wells borough, borderedBy, Ashford borough]
-
A.
Ashford
chosen
Ashford is a large and rapidly growing town in the county of Kent in southeast England, known as a key transport hub with high-speed rail links to London and continental Europe.
-
B.
Ashford, Surrey
Ashford, Surrey is a suburban town in the borough of Spelthorne in southeast England, situated near Heathrow Airport and within the London commuter belt.
-
C.
New Ashford
New Ashford is a small rural town in western Massachusetts, United States, known for its scenic setting in the Berkshires.
-
D.
Addlestone
Addlestone is a suburban town in southeast England known for its residential character and proximity to London.
-
E.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bb75eec08190b1d6545e96816d34 |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4f65888190b48c2d220e62a26b |
completed | March 7, 2026, 4:03 p.m. |
Created at: March 1, 2026, 7:43 p.m.