Triple
T306893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Star |
E6322
|
entity |
| Predicate | locomotiveClass |
P5426
|
FINISHED |
| Object | GE P42DC |
E35287
|
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: GE P42DC | Statement: [Silver Star, locomotiveClass, GE P42DC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GE P42DC Context triple: [Silver Star, locomotiveClass, GE P42DC]
-
A.
GE P42DC
chosen
The GE P42DC is a diesel-electric passenger locomotive built by General Electric, widely used by Amtrak across the United States for long-distance and intercity services.
-
B.
LG
LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
-
C.
Honeywell DDP-516
The Honeywell DDP-516 is a rugged 16-bit minicomputer from the 1960s widely used in early military, industrial, and networking applications, including as a platform for ARPANET Interface Message Processors.
-
D.
Hoover
Hoover is a surname most prominently associated with Herbert Hoover, the 31st president of the United States.
-
E.
Dyson
Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
- 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: locomotiveClass Context triple: [Silver Star, locomotiveClass, GE P42DC]
-
A.
railroadClass
Indicates the classification or category of a railroad according to an established system (e.g., by size, revenue, or regulatory status).
-
B.
locomotiveWorks
Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
-
C.
rollingStockType
Indicates the specific category or type of railway rolling stock associated with an entity (e.g., locomotive, passenger car, freight wagon).
-
D.
operatedLocomotiveWorksAt
Indicates that an entity operated a locomotive works facility at a specific location.
-
E.
usesRollingStock
chosen
Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
- F. None of above.
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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea313be88190b4441f3ea41a99e2 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b4744d188190a38831b251ca4901 |
completed | March 1, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.