Triple
T1122009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Northeast Regional |
E24631
|
entity |
| Predicate | locomotiveUsed |
P5426
|
FINISHED |
| Object | Siemens ACS-64 |
E61008
|
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: Siemens ACS-64 | Statement: [Amtrak Northeast Regional, locomotiveUsed, Siemens ACS-64]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siemens ACS-64 Context triple: [Amtrak Northeast Regional, locomotiveUsed, Siemens ACS-64]
-
A.
Siemens ACS-64
chosen
The Siemens ACS-64 is a high-speed, electric locomotive used by Amtrak for passenger rail service in the United States.
-
B.
DE30AC locomotive
The DE30AC locomotive is a diesel-electric passenger locomotive built by EMD for the Long Island Rail Road, designed for push-pull commuter service with head-end power.
-
C.
Siemens S700 light rail vehicles
Siemens S700 light rail vehicles are modern low-floor light rail cars designed by Siemens Mobility for urban transit systems, featuring improved accessibility, energy efficiency, and passenger comfort.
-
D.
Z 5600 EMU
The Z 5600 EMU is a class of French electric multiple unit trains built for suburban commuter services around Paris, notably operating on the RER network.
-
E.
GG1 electric locomotive
The GG1 electric locomotive was a streamlined, high-speed electric locomotive class that became an iconic workhorse of American railroading, particularly in the Northeast corridor, during much of the 20th century.
- 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: locomotiveUsed Context triple: [Amtrak Northeast Regional, locomotiveUsed, Siemens ACS-64]
-
A.
hasLocomotive
Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
-
B.
locomotiveWorks
Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
-
C.
railwayCarriageUsedFor
Indicates that a railway carriage is employed or designated for a particular purpose, function, or type of use.
-
D.
usesRollingStock
chosen
Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
-
E.
railwayUse
Indicates that something is used as, or functions in the capacity of, a railway or rail-based transportation facility.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539d51848190a9eb9ddaa7e4c6a8 |
completed | March 7, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.