Triple
T21569089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rail Express Systems |
E532237
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | EWS Network |
—
|
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: EWS Network | Statement: [Rail Express Systems, successor, EWS Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EWS Network Context triple: [Rail Express Systems, successor, EWS Network]
-
A.
EWS
chosen
EWS (English, Welsh & Scottish Railway) was a major British rail freight company that operated a large fleet of locomotives and became the dominant freight operator in the UK before being rebranded as DB Cargo UK.
-
B.
EWS
EWS is a United States Marine Corps professional military education institution that trains company-grade officers in the planning and execution of expeditionary and amphibious operations.
-
C.
Emerald Network
The Emerald Network is a pan-European ecological network of protected areas aimed at conserving habitats and species of special importance under the Bern Convention.
-
D.
ESW
ESW is the vehicle registration code for the German town and district of Eschwege in the state of Hesse.
-
E.
EWEB
EWEB is the public utility that provides water and electricity services to the Eugene, Oregon area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 16, 2026, 6:30 p.m.