Triple
T23845001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiling Buddha |
E591093
|
entity |
| Predicate | impactOnSecurityDoctrine |
P91654
|
FINISHED |
| Object | laid groundwork for India’s later declared nuclear weapons status |
—
|
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: laid groundwork for India’s later declared nuclear weapons status | Statement: [Smiling Buddha, impactOnSecurityDoctrine, laid groundwork for India’s later declared nuclear weapons status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnSecurityDoctrine Context triple: [Smiling Buddha, impactOnSecurityDoctrine, laid groundwork for India’s later declared nuclear weapons status]
-
A.
securityChallengesImpact
Indicates how security-related challenges affect or influence a given system, process, or outcome.
-
B.
securityImplication
chosen
Indicates that one entity has a consequence, effect, or relevance for the safety, protection, or vulnerability status of another entity or system.
-
C.
impactOnLaw
Indicates the effect or influence that one entity, event, or action has on laws, legal rules, or the legal system.
-
D.
integrityImpact
Indicates the extent to which the relationship or action compromises, alters, or destroys the accuracy, consistency, or trustworthiness of the affected entity’s information or state.
-
E.
legalDoctrineInfluenced
Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.