Triple
T8877533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodoland Territorial Region |
E211323
|
entity |
| Predicate | hasOfficialScriptForBodo |
P4434
|
FINISHED |
| Object | Devanagari script |
—
|
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: Devanagari script | Statement: [Bodoland Territorial Region, hasOfficialScriptForBodo, Devanagari script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialScriptForBodo Context triple: [Bodoland Territorial Region, hasOfficialScriptForBodo, Devanagari script]
-
A.
languageOfScriptPromoted
Indicates that a particular language is associated with and promoted through the use of a given writing script.
-
B.
hasLanguageOfScripture
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
-
C.
associatedLanguageScript
Indicates that there is a relationship between a language and the script or writing system used to represent it.
-
D.
officialScriptOf
chosen
Indicates that one writing system is formally designated as the standard or legally recognized script used for a particular language, region, or entity.
-
E.
hasOfficialWritingSystem
Indicates that an entity (typically a language) is associated with a formally recognized and standardized writing system used for official or standard purposes.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:52 p.m.