Triple
T14381028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens EuroSprinter |
E356600
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
ES46B1
ES46B1 is a specific high-performance electric locomotive model within Siemens' EuroSprinter family, designed for heavy-duty rail operations.
|
E1096125
|
NE FINISHED |
How this triple was built (4 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: ES46B1 | Statement: [Siemens EuroSprinter, hasVariant, ES46B1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ES46B1 Context triple: [Siemens EuroSprinter, hasVariant, ES46B1]
-
A.
BB-46
BB-46 is the hull classification symbol for USS Maryland, a Colorado-class battleship of the United States Navy that served prominently during World War II.
-
B.
S46
S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
-
C.
A46
A46 is a major trunk road in England that runs from Bath in the southwest to Cleethorpes on the east coast, connecting several key cities and regions.
-
D.
ES-125
The ES-125 is a mid-20th-century Gibson hollow-body electric guitar known for its warm, rich tone and popularity among jazz and blues players.
-
E.
BB-45
BB-45 is the hull classification symbol for USS Colorado, a Colorado-class battleship that served in the United States Navy during the early to mid-20th century, including World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ES46B1 Triple: [Siemens EuroSprinter, hasVariant, ES46B1]
Generated description
ES46B1 is a specific high-performance electric locomotive model within Siemens' EuroSprinter family, designed for heavy-duty rail operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ES46B1 Target entity description: ES46B1 is a specific high-performance electric locomotive model within Siemens' EuroSprinter family, designed for heavy-duty rail operations.
-
A.
BB-46
BB-46 is the hull classification symbol for USS Maryland, a Colorado-class battleship of the United States Navy that served prominently during World War II.
-
B.
S46
S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
-
C.
A46
A46 is a major trunk road in England that runs from Bath in the southwest to Cleethorpes on the east coast, connecting several key cities and regions.
-
D.
ES-125
The ES-125 is a mid-20th-century Gibson hollow-body electric guitar known for its warm, rich tone and popularity among jazz and blues players.
-
E.
BB-45
BB-45 is the hull classification symbol for USS Colorado, a Colorado-class battleship that served in the United States Navy during the early to mid-20th century, including World War II.
- F. None of above. chosen
Provenance (5 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c590660819090652e75418f2747 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.