Triple
T17684160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B53 nuclear bomb |
E440845
|
entity |
| Predicate | oneOfLargestUSNuclearWeapons |
P128569
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [B53 nuclear bomb, oneOfLargestUSNuclearWeapons, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfLargestUSNuclearWeapons Context triple: [B53 nuclear bomb, oneOfLargestUSNuclearWeapons, true]
-
A.
landBasedNuclearWeapons
Indicates the existence, deployment, or involvement of nuclear weapons that are based on land rather than at sea or in the air.
-
B.
nuclearCapability
Indicates that an entity possesses, develops, or has access to nuclear weapons or the technological capacity to produce them.
-
C.
nuclearWeaponsCustodian
Indicates that one entity is responsible for the control, safekeeping, or management of another entity’s nuclear weapons.
-
D.
nuclearWeaponsProgram
Indicates the existence, development, or pursuit of a program related to the research, production, or maintenance of nuclear weapons.
-
E.
largestNuclearTest
Indicates that the subject entity conducted or is associated with the largest nuclear test (by yield or scale) within a specified context or comparison set.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704710488190826aaf0bdd4b2088 |
completed | April 19, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:02 a.m.