Triple
T1656103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andhra State |
E35801
|
entity |
| Predicate | historicalLanguagePolicy |
P30955
|
FINISHED |
| Object | promotion of Telugu in administration |
—
|
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: promotion of Telugu in administration | Statement: [Andhra State, historicalLanguagePolicy, promotion of Telugu in administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguagePolicy Context triple: [Andhra State, historicalLanguagePolicy, promotion of Telugu in administration]
-
A.
historicalLanguageStatus
Indicates that a language had a particular official, social, or functional status during a past historical period.
-
B.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
C.
historicalLanguageCenter
Indicates that a location has served as a significant hub or focal point for the development, use, or study of a particular language in the past.
-
D.
historicalLanguageOfEnvironment
Indicates that a language was historically used or prevalent in a given environment or setting, even if it is not the current primary language there.
-
E.
historicalLaw
Indicates that the referenced law or legal provision existed and was in effect during a past historical period, rather than being current.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99a4c3810819089d2dd0e23c8e46b |
completed | March 5, 2026, 2:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.