Triple
T24814100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 745 |
E620866
|
entity |
| Predicate | enteredTrafficWith |
P157372
|
FINISHED |
| Object | Greater Anglia franchise |
—
|
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: Greater Anglia franchise | Statement: [British Rail Class 745, enteredTrafficWith, Greater Anglia franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredTrafficWith Context triple: [British Rail Class 745, enteredTrafficWith, Greater Anglia franchise]
-
A.
enteredTraffic
Indicates that an entity has moved into or joined a flow of traffic, such as entering a roadway or traffic stream.
-
B.
enteredTrafficOn
Indicates that an entity moved from a non-traffic context (e.g., driveway, ramp, side road) into an active traffic flow or roadway.
-
C.
entersFrom
Indicates that one entity moves into or arrives at a place, state, or context by coming from another specified source or location.
-
D.
openedForThroughTraffic
Indicates that a route or segment is available and accessible for vehicles to pass through (not just for local access), allowing continuous through traffic.
-
E.
hasTrafficDirection
Indicates that there is a specified flow or orientation of traffic associated with an entity (such as a road, lane, or route).
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f42b11251881908070b93355de64ad |
completed | May 1, 2026, 4:24 a.m. |
Created at: April 18, 2026, 4:59 a.m.