Triple
T13774462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srirangam Assembly constituency |
E330965
|
entity |
| Predicate | languageOfElectoralRoll |
P9260
|
FINISHED |
| Object | Tamil |
—
|
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: Tamil | Statement: [Srirangam Assembly constituency, languageOfElectoralRoll, Tamil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfElectoralRoll Context triple: [Srirangam Assembly constituency, languageOfElectoralRoll, Tamil]
-
A.
languageOfBallots
chosen
Indicates the language or languages in which ballots are written or presented.
-
B.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
C.
nationalLanguageSpoken
Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
-
D.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
E.
languageConstituency
Indicates that one language variety, segment, or unit forms a constituent or component part within the structure of another language or linguistic system.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.