Triple
T17635413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alresford railway station |
E430080
|
entity |
| Predicate | lineLengthFromAlresford |
P77732
|
FINISHED |
| Object | approximately 10 miles to Alton |
—
|
LITERAL 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: approximately 10 miles to Alton | Statement: [Alresford railway station, lineLengthFromAlresford, approximately 10 miles to Alton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineLengthFromAlresford Context triple: [Alresford railway station, lineLengthFromAlresford, approximately 10 miles to Alton]
-
A.
lengthIncludingVentnor
Indicates that the specified length measurement includes the portion associated with Ventnor within its total.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
D.
railwayLineLength
chosen
Indicates the total measured length of a railway line.
-
E.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
- F. None of above.
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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de0ad988190b1a2c0bff69eb9f1 |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.