Triple
T3426546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assamese |
E72240
|
entity |
| Predicate | languageCodeInIndiaConstitution |
P48648
|
FINISHED |
| Object | Eighth Schedule language |
—
|
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: Eighth Schedule language | Statement: [Assamese, languageCodeInIndiaConstitution, Eighth Schedule language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCodeInIndiaConstitution Context triple: [Assamese, languageCodeInIndiaConstitution, Eighth Schedule language]
-
A.
languageOfPromulgation
Indicates the language in which a law, decree, or official act is formally issued or proclaimed.
-
B.
languageOfOriginalPromulgation
Indicates the language in which a law, regulation, or official text was originally formally issued or published.
-
C.
recognizedAsClassicalLanguageBy
Indicates that an entity is acknowledged or designated by a specified authority or source as a classical language.
-
D.
languageOfLegislature
Indicates the language or languages officially used by a legislature to conduct its proceedings, draft laws, and perform its formal functions.
-
E.
officialLanguageOfInscriptions
Indicates the language officially used in the inscriptions associated with a particular entity.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9812a648190ac919e7291744b5a |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.