Triple
T6214423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerrards Cross |
E138948
|
entity |
| Predicate | railJourneyTimeToLondon |
P39021
|
FINISHED |
| Object | about 20–30 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 20–30 minutes | Statement: [Gerrards Cross, railJourneyTimeToLondon, about 20–30 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railJourneyTimeToLondon Context triple: [Gerrards Cross, railJourneyTimeToLondon, about 20–30 minutes]
-
A.
timeToCentralLondonByTrain
chosen
Indicates the amount of time it takes to travel by train from a given location to central London.
-
B.
railwayTimeUsage
Indicates how much time is spent using or operating a railway within a given context or period.
-
C.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
D.
estimatedTravelTimeSFtoLA
Indicates the expected duration required to travel from San Francisco to Los Angeles.
-
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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0629fd3c08190a121097c188417c4 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.