Triple
T22162125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu Widows’ Remarriage Act, 1856 |
E547696
|
entity |
| Predicate | modifiedRule |
P24476
|
FINISHED |
| Object | traditional Hindu law on widow remarriage |
—
|
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: traditional Hindu law on widow remarriage | Statement: [Hindu Widows’ Remarriage Act, 1856, modifiedRule, traditional Hindu law on widow remarriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiedRule Context triple: [Hindu Widows’ Remarriage Act, 1856, modifiedRule, traditional Hindu law on widow remarriage]
-
A.
typicalRuleModification
chosen
Indicates a change made to a standard or default rule, adjusting how that rule normally applies or operates.
-
B.
resetRule
Indicates that a rule is returned to its initial or default state, typically clearing any prior changes or accumulated effects.
-
C.
replacedByRule
Indicates that an entity has been superseded or substituted by another entity according to a specific rule or transformation.
-
D.
settingOfRule
Indicates the contextual environment, domain, or circumstances within which a particular rule is defined and intended to apply.
-
E.
cutRule
Indicates that one entity applies or enforces a rule that removes, prunes, or eliminates certain elements or possibilities from consideration.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2e47a88190a3b5c05398605f68 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.