Triple
T21212417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Shine v. Union of India |
E522751
|
entity |
| Predicate | typeOfPetition |
P143574
|
FINISHED |
| Object | public interest litigation |
—
|
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: public interest litigation | Statement: [Joseph Shine v. Union of India, typeOfPetition, public interest litigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPetition Context triple: [Joseph Shine v. Union of India, typeOfPetition, public interest litigation]
-
A.
partyTypePetitioners
Indicates that the associated parties in a legal case are classified as petitioners.
-
B.
keyPetition
Indicates that an entity serves as the primary or central petition associated with another entity or context.
-
C.
languageOfPetition
Indicates the language in which a petition is written, submitted, or officially recorded.
-
D.
numberOfPetitions
Indicates the total count of petitions associated with a given entity or context.
-
E.
containsPetition
Indicates that one entity includes or holds a petition within it, either as content or as a component.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346f762c8190a9f57d9e00d94d28 |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:38 p.m.