Triple
T4873929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watercress Line |
E109153
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Alresford |
E430079
|
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: Alresford | Statement: [Watercress Line, hasStation, Alresford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alresford Context triple: [Watercress Line, hasStation, Alresford]
-
A.
Alresford
chosen
Alresford is a historic market town in Hampshire, England, known for its picturesque Georgian architecture and role as a terminus of the heritage Mid Hants Railway.
-
B.
Bramshott
Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
-
C.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
D.
Fairford
Fairford is a small market town in Gloucestershire, England, known for its historic wool church and proximity to RAF Fairford airbase.
-
E.
Royston
Royston is a historic market town in Hertfordshire, England, known for the mysterious medieval Royston Cave and its position at the crossroads of ancient routes.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9fa0b08190ab1fc7ec395dca37 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb5da2c8190aeec7d6d11b12b11 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:27 p.m.