Triple
T32354146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva Rail North |
E826687
|
entity |
| Predicate | operatedInCountryPart |
P20059
|
FINISHED |
| Object | England |
—
|
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: England | Statement: [Arriva Rail North, operatedInCountryPart, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedInCountryPart Context triple: [Arriva Rail North, operatedInCountryPart, England]
-
A.
operatedByCountry
Indicates that an entity (such as an organization, facility, or service) is run, managed, or controlled by a specific country or its government.
-
B.
operatedToCountry
Indicates that an operation, service, or activity is conducted or extended from some source to a specified country.
-
C.
operatesInCountries
chosen
Indicates that an entity conducts its activities or business within the specified countries.
-
D.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
E.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: May 1, 2026, 12:49 a.m.