Triple
T26227133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratapgarh city |
E655921
|
entity |
| Predicate | languageInPublicLife |
P181723
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Pratapgarh city, languageInPublicLife, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageInPublicLife Context triple: [Pratapgarh city, languageInPublicLife, Hindi]
-
A.
languageOfPublicLife
chosen
Indicates that a language is used as the primary medium of communication in public, official, and societal affairs within a community or region.
-
B.
languageAdvocated
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
C.
languageVitality
Indicates the degree to which a language is actively used, maintained, and transmitted within a community, reflecting its risk of endangerment or extinction.
-
D.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
E.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 26, 2026, 8:58 p.m.