Triple
T23013816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadhurst railway station |
E572976
|
entity |
| Predicate | lineDistanceFromLondonCharingCross |
P9423
|
FINISHED |
| Object | about 39 miles from London Charing Cross via Tonbridge |
—
|
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: about 39 miles from London Charing Cross via Tonbridge | Statement: [Wadhurst railway station, lineDistanceFromLondonCharingCross, about 39 miles from London Charing Cross via Tonbridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDistanceFromLondonCharingCross Context triple: [Wadhurst railway station, lineDistanceFromLondonCharingCross, about 39 miles from London Charing Cross via Tonbridge]
-
A.
distanceFromCentralLondon
chosen
Indicates the spatial separation or length of travel between a given location and central London.
-
B.
distanceFromLiverpoolStreet
Indicates the measured distance between a given location and Liverpool Street.
-
C.
distanceFromBakerStreet
Indicates the measured spatial distance between a given entity and Baker Street.
-
D.
directionFromLondonKingsCross
Indicates the direction or bearing of a location when traveling from London King's Cross.
-
E.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.