Triple
T4983350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katyayana Smriti |
E111940
|
entity |
| Predicate | legalDimension |
P61304
|
FINISHED |
| Object | codifies rules for adjudication |
—
|
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: codifies rules for adjudication | Statement: [Katyayana Smriti, legalDimension, codifies rules for adjudication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDimension Context triple: [Katyayana Smriti, legalDimension, codifies rules for adjudication]
-
A.
legalArea
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
-
B.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
C.
legalOrder
Indicates that an authoritative legal directive or mandate has been issued by a recognized legal body requiring specific actions or compliance from the involved parties.
-
D.
legalConstraint
Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
-
E.
legalOrigin
Indicates the foundational legal system or jurisdiction from which an entity’s laws, regulations, or legal framework are derived.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71492dec8190af4c27a3043b35cc |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd742311bc8190be016cac6cebd15d |
completed | March 20, 2026, 4:21 p.m. |
Created at: March 20, 2026, 1:33 p.m.