Triple
T2496718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawtenstall railway station |
E52167
|
entity |
| Predicate | closedToPassengers |
P10433
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Rawtenstall railway station, closedToPassengers, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedToPassengers Context triple: [Rawtenstall railway station, closedToPassengers, 1972]
-
A.
closedForPassengers
chosen
Indicates that a transportation facility or vehicle is not available for use by passengers.
-
B.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
C.
passengerAccess
Indicates that a passenger is allowed to enter, use, or move through a particular vehicle, area, or transportation-related facility.
-
D.
closedAsImmigrationStation
Indicates that an entity ceased operating in its role as an immigration station.
-
E.
passengers
Indicates that one entity is traveling in or being transported by another entity, typically as a non-operating occupant.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1abd3688190b5874249e1e333bc |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.