Triple
T2892726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Maryland Railway |
E63864
|
entity |
| Predicate | reportingMark |
P2130
|
FINISHED |
| Object | WM |
E303448
|
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: WM | Statement: [Western Maryland Railway, reportingMark, WM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WM Context triple: [Western Maryland Railway, reportingMark, WM]
-
A.
WM
chosen
WM was the reporting mark for the Western Maryland Railway, a regional U.S. railroad that later became part of the Chessie System.
-
B.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
C.
MW
MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
-
D.
WD
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
-
E.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe062234c81909411e34db7d2683d |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317e15248190bade0f0fd930581a |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:07 p.m.