Triple
T24492567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | towards Rose Hill Marple |
E617685
|
entity |
| Predicate | originStation |
P17223
|
FINISHED |
| Object | Hyde Central railway station |
—
|
NE NERFINISHED |
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: Hyde Central railway station | Statement: [towards Rose Hill Marple, originStation, Hyde Central railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originStation Context triple: [towards Rose Hill Marple, originStation, Hyde Central railway station]
-
A.
startingStation
chosen
Indicates the station or location where a journey, route, or trip begins.
-
B.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
C.
originAirportHub
Indicates that the referenced airport serves as a primary hub or main operating base for the associated airline or carrier.
-
D.
originalStationLocation
Indicates the location where a station was initially established or first situated.
-
E.
stationName
Indicates the name assigned to a particular station in the relationship.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.