Triple
T3347339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMD F59PHI |
E70405
|
entity |
| Predicate | usedForService |
P47372
|
FINISHED |
| Object | commuter rail |
—
|
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: commuter rail | Statement: [EMD F59PHI, usedForService, commuter rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForService Context triple: [EMD F59PHI, usedForService, commuter rail]
-
A.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
B.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
C.
servesUse
Indicates that one entity is used by or functions to serve the purpose or needs of another entity.
-
D.
usesServiceDesignation
Indicates that one entity adopts or applies a particular service designation associated with another entity or offering.
-
E.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
- F. None of above. chosen
Provenance (4 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21c64448190a29631ea8f029868 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:12 p.m.