Triple
T12700525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WM |
E303448
|
entity |
| Predicate | reportingMarkFor |
P42928
|
FINISHED |
| Object | locomotives |
—
|
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: locomotives | Statement: [WM, reportingMarkFor, locomotives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportingMarkFor Context triple: [WM, reportingMarkFor, locomotives]
-
A.
usedReportingMarks
chosen
Indicates that an entity employed specific railroad reporting marks to identify rolling stock or operations.
-
B.
reportedMarks
Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
-
C.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
-
D.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
-
E.
markType
Indicates the specific category or kind of mark associated with or applied to an 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.