Triple
T16495992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 45562 Alberta |
E400685
|
entity |
| Predicate | railwayRegion |
P15232
|
FINISHED |
| Object | LMS |
E88872
|
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 | Statement: [45562 Alberta, railwayRegion, LMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LMS Context triple: [45562 Alberta, railwayRegion, LMS]
-
A.
LMS
chosen
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.
-
B.
LMS
LMS is the London Mathematical Society, a leading UK organization dedicated to advancing and promoting mathematical research.
-
C.
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.
-
D.
LMS 7P
LMS 7P is a British steam locomotive power classification used by the London, Midland and Scottish Railway to denote high-powered passenger express engines.
-
E.
LTI
LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e332c1c8190888a042d0192233a |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005828849481909e95c5822ed6f74d |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.