Triple
T18936148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens SD100 |
E463250
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
SD100
SD100 is a Siemens-built light rail vehicle model commonly used in North American urban transit systems.
|
E1351677
|
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: SD100 | Statement: [Siemens SD100, marketedAs, SD100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SD100 Context triple: [Siemens SD100, marketedAs, SD100]
-
A.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
-
B.
SR 100
SR 100 is a state highway in Georgia that runs generally north–south, connecting several small towns and rural areas in the western part of the state.
-
C.
SR 100
SR 100 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
D.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
E.
SP100
SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
- 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: SD100 Triple: [Siemens SD100, marketedAs, SD100]
Generated description
SD100 is a Siemens-built light rail vehicle model commonly used in North American urban transit systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SD100 Target entity description: SD100 is a Siemens-built light rail vehicle model commonly used in North American urban transit systems.
-
A.
SR 100
SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
-
B.
SR 100
SR 100 is a state highway in Georgia that runs generally north–south, connecting several small towns and rural areas in the western part of the state.
-
C.
SR 100
SR 100 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
D.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
E.
SP100
SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e7b87c81909dc29defb33c8e00 |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fc1a8188190a3b74a0b3acf4d22 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05aa010fe88190b9c53386a8802dd1 |
completed | May 14, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05aa95e4248190bfc478416276d0fe |
completed | May 14, 2026, 10:57 a.m. |
Created at: April 10, 2026, 11:59 a.m.