Triple
T20155831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogsmeade Station |
E491562
|
entity |
| Predicate | travelTimeFromLondon |
P39021
|
FINISHED |
| Object | about one day by Hogwarts Express |
—
|
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 one day by Hogwarts Express | Statement: [Hogsmeade Station, travelTimeFromLondon, about one day by Hogwarts Express]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeFromLondon Context triple: [Hogsmeade Station, travelTimeFromLondon, about one day by Hogwarts Express]
-
A.
distanceFromHeathrow
Indicates the measured spatial distance between a given entity and Heathrow.
-
B.
timeToCentralLondonByTrain
chosen
Indicates the amount of time it takes to travel by train from a given location to central London.
-
C.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
D.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e0a0488190a25d92aaf300be4a |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.