Triple
T5738390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kesavananda Bharati v. State of Kerala |
E126554
|
entity |
| Predicate | ratioOfDecision |
P65549
|
FINISHED |
| Object | 7:6 |
—
|
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: 7:6 | Statement: [Kesavananda Bharati v. State of Kerala, ratioOfDecision, 7:6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ratioOfDecision Context triple: [Kesavananda Bharati v. State of Kerala, ratioOfDecision, 7:6]
-
A.
decisionFrequency
Indicates how often decisions are made or actions are chosen within a given process or interaction.
-
B.
decisiveFor
Indicates that one entity plays a determining or conclusive role in bringing about a particular outcome, decision, or state of another entity.
-
C.
decider
Indicates that an entity is the one who makes a choice or decision in a given situation or process.
-
D.
decidesOn
Indicates that an agent makes a choice or determination regarding a particular option, issue, or course of action.
-
E.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255c8c308190821f968ec41c5078 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:47 p.m.