Triple
T11919165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham railway station |
E283609
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | CrossCountry |
E3874
|
NE 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: CrossCountry | Statement: [Durham railway station, operator, CrossCountry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CrossCountry Context triple: [Durham railway station, operator, CrossCountry]
-
A.
CrossCountry
chosen
CrossCountry is a major British train operating company that runs long-distance intercity and regional passenger services across much of the United Kingdom.
-
B.
Cross Country
Cross Country is a crime thriller novel in James Patterson's Alex Cross series that follows the detective on a dangerous pursuit of a ruthless killer from Washington, D.C. to Africa.
-
C.
High Country
High Country is a premium trim level offered on certain Chevrolet trucks and SUVs, featuring upscale materials, advanced technology, and distinctive styling.
-
D.
Crossover
Crossover is a book by engineer and designer Cecil Balmond that explores the intersection of art, architecture, mathematics, and structural design.
-
E.
Rally
Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8dff77481908cacf6ad03df34ac |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440247cf4819084567f6e1005ef04 |
completed | May 1, 2026, 5:54 a.m. |
Created at: April 8, 2026, 9:44 p.m.