Triple
T21568593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London & South East sector of British Rail |
E532224
|
entity |
| Predicate | operatedServicesFrom |
P6304
|
FINISHED |
| Object | commuter towns in Kent |
—
|
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: commuter towns in Kent | Statement: [London & South East sector of British Rail, operatedServicesFrom, commuter towns in Kent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedServicesFrom Context triple: [London & South East sector of British Rail, operatedServicesFrom, commuter towns in Kent]
-
A.
operatedFrom
Indicates that an entity conducted its activities or operations starting from or based at a particular location or source.
-
B.
operatesService
Indicates that an agent runs, manages, or provides a particular service.
-
C.
operatesServiceTo
chosen
Indicates that one entity runs or provides a transportation or service route to another entity or location.
-
D.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
E.
operatedAs
Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cad95c8190ab165ced6f242302 |
completed | April 27, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.