Triple
T29338391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Investigation Agency Act, 2008 |
E743971
|
entity |
| Predicate | scheduledOffencesInclude |
P67290
|
FINISHED |
| Object | offences under the Unlawful Activities (Prevention) Act, 1967 |
—
|
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: offences under the Unlawful Activities (Prevention) Act, 1967 | Statement: [National Investigation Agency Act, 2008, scheduledOffencesInclude, offences under the Unlawful Activities (Prevention) Act, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scheduledOffencesInclude Context triple: [National Investigation Agency Act, 2008, scheduledOffencesInclude, offences under the Unlawful Activities (Prevention) Act, 1967]
-
A.
includesOffenseType
chosen
Indicates that one entity contains, specifies, or is associated with a particular category or type of offense.
-
B.
includesAttemptedAndCompletedOffenses
Indicates that the relationship or count covers both offenses that were merely attempted and those that were fully completed.
-
C.
penaltyAppliesTo
Indicates that a specific penalty is imposed on, or is relevant to, a particular entity or situation.
-
D.
definesOffence
Indicates that one entity specifies or establishes the nature, elements, or scope of an offence associated with another entity.
-
E.
supportsMultipleOffensesPerIncident
Indicates that a single incident can be associated with, or give rise to, more than one distinct offense.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f669255db48190a9541c77cb9b5ede |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:32 p.m.