Triple
T22172813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhavnagar Lok Sabha constituency |
E547963
|
entity |
| Predicate | languageOfElectorate |
P11430
|
FINISHED |
| Object | Gujarati |
—
|
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: Gujarati | Statement: [Bhavnagar Lok Sabha constituency, languageOfElectorate, Gujarati]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfElectorate Context triple: [Bhavnagar Lok Sabha constituency, languageOfElectorate, Gujarati]
-
A.
languageOfBallots
Indicates the language or languages in which ballots are written or presented.
-
B.
languageOfLegislature
Indicates the language or languages officially used by a legislature to conduct its proceedings, draft laws, and perform its formal functions.
-
C.
languageOfCitizenship
Indicates the language officially associated with or required for a given citizenship.
-
D.
languageConstituency
Indicates that one language variety, segment, or unit forms a constituent or component part within the structure of another language or linguistic system.
-
E.
majorityLanguageOf
chosen
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.