Triple
T33621476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 15 nuclear bomb |
E861280
|
entity |
| Predicate | isEarlyModelOf |
P176966
|
FINISHED |
| Object | U.S. thermonuclear weapons |
—
|
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: U.S. thermonuclear weapons | Statement: [Mark 15 nuclear bomb, isEarlyModelOf, U.S. thermonuclear weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEarlyModelOf Context triple: [Mark 15 nuclear bomb, isEarlyModelOf, U.S. thermonuclear weapons]
-
A.
compatibilityModel
Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
-
B.
isBuiltFor
Indicates that one entity is specifically designed, intended, or optimized to serve, support, or accommodate another entity or purpose.
-
C.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
D.
isYoungerVersionOf
Indicates that one entity represents the same individual as another entity, but at an earlier, younger stage in their life.
-
E.
isEarlyEditionOf
Indicates that one item is an earlier published version or release of another item in a sequence of editions.
- F. None of above. chosen
Provenance (4 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f81b8dc48190abf63b5f5cb8538a |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:41 a.m.