Triple
T10778312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S2W nuclear reactor |
E254251
|
entity |
| Predicate | reactorCoreType |
P3675
|
FINISHED |
| Object | light water moderated |
—
|
LITERAL FINISHED |
How this triple was built (2 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: light water moderated | Statement: [S2W nuclear reactor, reactorCoreType, light water moderated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactorCoreType Context triple: [S2W nuclear reactor, reactorCoreType, light water moderated]
-
A.
reactorType
chosen
Indicates the specific kind or category of reactor associated with an entity.
-
B.
reactor
Indicates a relationship where an entity functions as or is associated with a nuclear or chemical reactor system.
-
C.
reactorVendor
Indicates the company or organization that supplied or manufactured a given reactor.
-
D.
reactorVendorLicensed
Indicates that a reactor vendor has been formally granted a license or authorization to supply or operate the reactor.
-
E.
reactorModel
Indicates a specific reactor design or configuration that an entity is based on, uses, or is associated with.
- F. None of above.
Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c18c3c819089d49e3e4585049e |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.