Triple
T19182584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxshott |
E469612
|
entity |
| Predicate | travelTimeToLondonWaterloo |
P39021
|
FINISHED |
| Object | about 35 minutes |
—
|
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 35 minutes | Statement: [Oxshott, travelTimeToLondonWaterloo, about 35 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeToLondonWaterloo Context triple: [Oxshott, travelTimeToLondonWaterloo, about 35 minutes]
-
A.
timeToCentralLondonByTrain
chosen
Indicates the amount of time it takes to travel by train from a given location to central London.
-
B.
distanceFromLiverpoolStreet
Indicates the measured distance between a given location and Liverpool Street.
-
C.
distanceFromHeathrow
Indicates the measured spatial distance between a given entity and Heathrow.
-
D.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
E.
travelTimeToAirport
Indicates the amount of time required to travel from a given location to an airport.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.