Triple
T10857076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMS Stanier Class 5 4-6-0 |
E256294
|
entity |
| Predicate | exampleLocomotive |
P96097
|
FINISHED |
| Object | LMS 5000 |
E88866
|
NE FINISHED |
How this triple was built (3 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 5000 | Statement: [LMS Stanier Class 5 4-6-0, exampleLocomotive, LMS 5000]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LMS 5000 Context triple: [LMS Stanier Class 5 4-6-0, exampleLocomotive, LMS 5000]
-
A.
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.
-
B.
LMS
LMS is the London Mathematical Society, a leading UK organization dedicated to advancing and promoting mathematical research.
-
C.
LMS
LMS was one of the "Big Four" British railway companies, operating an extensive network across London, the Midlands, Scotland, and parts of Wales from 1923 until nationalisation in 1948.
-
D.
LMS
LMS is the commonly used abbreviation for the London Missionary Society, a major Protestant missionary organization founded in Britain in the late 18th century.
-
E.
LMS Black Five
chosen
LMS Black Five is a highly successful and versatile class of British mixed-traffic steam locomotives designed by William Stanier for widespread use across the LMS network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleLocomotive Context triple: [LMS Stanier Class 5 4-6-0, exampleLocomotive, LMS 5000]
-
A.
hasLocomotive
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
-
B.
locomotiveWorks
Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
-
C.
pursuitLocomotive
Indicates engaging in locomotion specifically aimed at following or chasing another entity.
-
D.
openingLocomotive
Indicates that an entity serves as the leading locomotive at the front of a train consist.
-
E.
laterLocomotiveType
Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
- F. None of above. chosen
Provenance (5 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7513695ac8190b5812e977a422c37 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb197808c8190b1c80aeb2144a909 |
completed | April 14, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:20 p.m.