Triple
T15131210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borssele nuclear power plant |
E361423
|
entity |
| Predicate | reactorModel |
P52112
|
FINISHED |
| Object |
Siemens PWR
Siemens PWR is a pressurized water reactor design developed by Siemens for use in commercial nuclear power plants.
|
E1139123
|
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: Siemens PWR | Statement: [Borssele nuclear power plant, reactorModel, Siemens PWR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siemens PWR Context triple: [Borssele nuclear power plant, reactorModel, Siemens PWR]
-
A.
Siemens Avanto
Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
-
B.
Siemens Nexas
Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
-
C.
Siemens SD100
The Siemens SD100 is a light rail vehicle model built by Siemens for use on urban trolley and light rail systems such as the San Diego Trolley.
-
D.
Siemens SD-460
The Siemens SD-460 is a light rail vehicle model built by Siemens for use on systems such as the St. Louis MetroLink.
-
E.
Siemens SD660
Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
- 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: Siemens PWR Triple: [Borssele nuclear power plant, reactorModel, Siemens PWR]
Generated description
Siemens PWR is a pressurized water reactor design developed by Siemens for use in commercial nuclear power plants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siemens PWR Target entity description: Siemens PWR is a pressurized water reactor design developed by Siemens for use in commercial nuclear power plants.
-
A.
Siemens Avanto
Siemens Avanto is a family of light rail and tram-train vehicles developed by Siemens for urban and regional public transport systems.
-
B.
Siemens Nexas
Siemens Nexas is a class of electric multiple unit trains used for suburban passenger services on Melbourne’s metropolitan rail network.
-
C.
Siemens SD100
The Siemens SD100 is a light rail vehicle model built by Siemens for use on urban trolley and light rail systems such as the San Diego Trolley.
-
D.
Siemens SD-460
The Siemens SD-460 is a light rail vehicle model built by Siemens for use on systems such as the St. Louis MetroLink.
-
E.
Siemens SD660
Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69febbfb58608190830eca7f9a78fc9c |
completed | May 9, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febc842a7081908a85ba2833212650 |
completed | May 9, 2026, 4:48 a.m. |
Created at: April 10, 2026, 3:06 a.m.