Triple
T16470759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Five |
E400051
|
entity |
| Predicate | notableExample |
P1503
|
FINISHED |
| Object | LMS 45110 |
E888997
|
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: LMS 45110 | Statement: [Black Five, notableExample, LMS 45110]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LMS 45110 Context triple: [Black Five, notableExample, LMS 45110]
-
A.
LMS 45110
chosen
LMS 45110 is a preserved example of the LMS Stanier Class 5 4-6-0 steam locomotive, historically notable for hauling one of the last British Railways mainline steam services.
-
B.
LMS 45407
LMS 45407 is a preserved British LMS Stanier Class 5 4-6-0 steam locomotive, commonly known as a "Black Five," that operates on heritage and mainline railways.
-
C.
LMS 44871
LMS 44871 is a preserved example of the British LMS Stanier Class 5 4-6-0 "Black Five" steam locomotive, renowned for its versatility and widespread use.
-
D.
LMS 44767
LMS 44767 is a preserved example of the LMS Stanier Class 5 4-6-0 steam locomotive, commonly known as a "Black Five," which operated on Britain’s mainline railways in the mid-20th century.
-
E.
LMS 8F
LMS 8F is a class of British heavy freight steam locomotives widely used during and after World War II for hauling goods trains.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5af4308190bd023624de35027f |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.