Triple
T29491801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 343 of the Constitution of India |
E748100
|
entity |
| Predicate | scriptDeclared |
P177564
|
FINISHED |
| Object | Devanagari |
—
|
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: Devanagari | Statement: [Article 343 of the Constitution of India, scriptDeclared, Devanagari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptDeclared Context triple: [Article 343 of the Constitution of India, scriptDeclared, Devanagari]
-
A.
scriptSource
Indicates that one entity is the origin or provider of the script used or referenced by another entity.
-
B.
scriptType
Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
-
C.
scriptComponentOf
Indicates that one entity is a script that functions as a component or module within another entity (such as a system, application, or larger script).
-
D.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
E.
scriptVariantLanguage
Indicates that a language is a variant distinguished by its writing system or script from another, related language form.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 28, 2026, 4:15 p.m.