Triple
T38188766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Manchester |
E1005393
|
entity |
| Predicate | hasTypicalFastRailJourneyTime |
P194919
|
FINISHED |
| Object | about 2 hours |
—
|
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 2 hours | Statement: [London–Manchester, hasTypicalFastRailJourneyTime, about 2 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalFastRailJourneyTime Context triple: [London–Manchester, hasTypicalFastRailJourneyTime, about 2 hours]
-
A.
hasApproximateFastRailJourneyTimeMinutes
Indicates that there is an estimated duration, measured in minutes, for a fast rail journey between two locations.
-
B.
hasApproximateFastRailJourneyTimeHours
chosen
Indicates that there is an estimated duration, measured in hours, for a fast rail journey between the related entities.
-
C.
hasHighSpeedLine
Indicates that there exists a high-speed rail line connection between the related entities.
-
D.
relativeSpeedComparedToConventionalTrains
Indicates how the speed of something compares to that of conventional trains, typically expressing whether it is faster, slower, or similar.
-
E.
hasRegionalTrainService
Indicates that a location or route is served by regional train services connecting it to nearby areas.
- 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a000fda03948190881b7275f249768f |
completed | May 10, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_6a000f607f1881908ee750d58da91690 |
completed | May 10, 2026, 4:53 a.m. |
Created at: May 3, 2026, 4:29 p.m.