Triple
T18284795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 17 thermonuclear bomb |
E437954
|
entity |
| Predicate | fissionFusionType |
P65743
|
FINISHED |
| Object | fusion-boosted fission-fusion weapon |
—
|
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: fusion-boosted fission-fusion weapon | Statement: [Mark 17 thermonuclear bomb, fissionFusionType, fusion-boosted fission-fusion weapon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fissionFusionType Context triple: [Mark 17 thermonuclear bomb, fissionFusionType, fusion-boosted fission-fusion weapon]
-
A.
dominantFusionProcess
Indicates that one fusion process is the primary or prevailing mechanism compared to other possible fusion processes in a given context.
-
B.
fusionReactionType
chosen
Indicates the specific kind or category of nuclear fusion process that relates two or more participating entities.
-
C.
fuseType
Indicates the specific kind or category of fuse associated with or used in relation to an entity.
-
D.
typeOfFIU
Indicates that one entity is classified as a specific type or category of Financial Intelligence Unit (FIU) in relation to another entity.
-
E.
fangType
Indicates the specific kind or classification of fangs that an entity possesses.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500f913d48190b41a1e37ca05e8b1 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.