Triple
T31337467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harpenden railway station |
E799214
|
entity |
| Predicate | hasOperatorAfterPrivatisation |
P182852
|
FINISHED |
| Object | Thameslink |
—
|
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: Thameslink | Statement: [Harpenden railway station, hasOperatorAfterPrivatisation, Thameslink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperatorAfterPrivatisation Context triple: [Harpenden railway station, hasOperatorAfterPrivatisation, Thameslink]
-
A.
operatorPrePrivatisation
Indicates that an entity functioned as the operator of a service or asset before it underwent privatisation.
-
B.
ownershipStatusAfterPrivatisation
Indicates the type or state of ownership an entity has after a privatisation process has taken place.
-
C.
acquiredByCurrentOperator
Indicates that an entity has been obtained or taken over by the operator that currently controls or manages it.
-
D.
marketStructureAfterPrivatisation
Indicates the type or configuration of a market that exists following the process of privatisation of a previously public entity or sector.
-
E.
operatedAfter
Indicates that one operation or action occurred later in time than another specified operation or action.
- F. None of above. chosen
Provenance (4 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 29, 2026, 9:16 p.m.