Triple
T29797457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizenship (Amendment) Act, 2019 |
E756591
|
entity |
| Predicate | reducesResidenceRequirementToYears |
P145408
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Citizenship (Amendment) Act, 2019, reducesResidenceRequirementToYears, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducesResidenceRequirementToYears Context triple: [Citizenship (Amendment) Act, 2019, reducesResidenceRequirementToYears, 5]
-
A.
changedResidencyRequirementToYears
chosen
Indicates that an entity has modified a residency requirement so that it is now expressed as a specific number of years.
-
B.
changedResidencyRequirementFromYears
Indicates that an entity has modified a residency requirement by changing the specified number of years previously required.
-
C.
minimumCitizenshipYears
Indicates the minimum number of years an individual must have held citizenship to satisfy a given requirement or condition.
-
D.
yearOfPermanentResidency
Indicates the specific year in which an entity began or was granted permanent residency in a particular place.
-
E.
residencePeriod
Indicates the length of time an entity resides or has resided at a particular location.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 5:16 p.m.