Triple
T38176000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhya Pradesh (unspecified district) |
E1000214
|
entity |
| Predicate | underLaw |
P16442
|
FINISHED |
| Object | Constitution of India |
—
|
NE NERFINISHED |
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: Constitution of India | Statement: [Madhya Pradesh (unspecified district), underLaw, Constitution of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underLaw Context triple: [Madhya Pradesh (unspecified district), underLaw, Constitution of India]
-
A.
lawLibrary
Indicates a relationship where a location or resource functions as a library specifically dedicated to legal materials, services, or research.
-
B.
legalMatters
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
C.
law
chosen
Indicates that one entity establishes, embodies, or enforces a rule or system of rules governing the behavior or relations of another entity.
-
D.
legalBackground
Indicates that an entity has education, training, or experience related to law or the legal profession.
-
E.
legalDevelopment
Indicates the occurrence or progression of a change, action, or event within a legal context, such as new laws, rulings, or regulatory updates affecting legal status or practice.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:29 p.m.