Triple
T25786162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Block V |
E649422
|
entity |
| Predicate | hasNuclearReactorType |
P171735
|
FINISHED |
| Object |
S9G reactor
The S9G reactor is a U.S. Navy nuclear propulsion reactor designed to power and provide electricity for Virginia-class (Block V) nuclear-powered attack submarines.
|
E1693327
|
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: S9G reactor | Statement: [Block V, hasNuclearReactorType, S9G reactor]
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: S9G reactor Triple: [Block V, hasNuclearReactorType, S9G reactor]
Generated description
The S9G reactor is a U.S. Navy nuclear propulsion reactor designed to power and provide electricity for Virginia-class (Block V) nuclear-powered attack submarines.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNuclearReactorType Context triple: [Block V, hasNuclearReactorType, S9G reactor]
-
A.
hasNuclearActivityType
Indicates that an entity is associated with a specific type or category of nuclear-related activity.
-
B.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
-
C.
nuclearReactorOrigin
Indicates the source or place from which a nuclear reactor originates or is derived.
-
D.
nuclearReactorLocation
Indicates the place where a nuclear reactor is situated or operates.
-
E.
nuclearPowered
Indicates that something operates using nuclear energy as its primary power source.
- F. None of above. chosen
Provenance (7 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc27eb988190805fa2cf0de534a1 |
completed | May 22, 2026, 9:35 p.m. |
| NEDg | Description generation | batch_6a10ccee67b881908f933ec91168f098 |
completed | May 22, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10ce0317348190b9b75259df58a264 |
completed | May 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a28b8ea881908733485374771c51 |
completed | May 3, 2026, 1:19 a.m. |
Created at: April 22, 2026, 5:55 a.m.