Triple
T23942200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 170 |
E602810
|
entity |
| Predicate | enteredTrafficAsReplacementFor |
P26479
|
FINISHED |
| Object | older first-generation DMUs |
—
|
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: older first-generation DMUs | Statement: [British Rail Class 170, enteredTrafficAsReplacementFor, older first-generation DMUs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredTrafficAsReplacementFor Context triple: [British Rail Class 170, enteredTrafficAsReplacementFor, older first-generation DMUs]
-
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.
enteredServiceAsReplacementFor
chosen
Indicates that one entity began its period of service specifically to take over the role or function previously performed by another entity.
-
D.
replacedByForCivilTraffic
Indicates that one entity has been superseded or substituted by another specifically for purposes related to civil traffic matters.
-
E.
hasPassengerTrafficFrom
Indicates that an entity receives or handles passenger traffic originating from another entity.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02ae4e4819083c0e160395b6fea |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:09 p.m.