Triple
T25684949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Census of India |
E644040
|
entity |
| Predicate | stateWithLowestLiteracyRate |
P168896
|
FINISHED |
| Object | Bihar |
—
|
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: Bihar | Statement: [2011 Census of India, stateWithLowestLiteracyRate, Bihar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateWithLowestLiteracyRate Context triple: [2011 Census of India, stateWithLowestLiteracyRate, Bihar]
-
A.
stateWithHighestLiteracyRate
Indicates the relationship where a particular state has the highest literacy rate compared to all other states in the relevant set or region.
-
B.
literacyRateOverall
Indicates the proportion of a population that can read and write at a specified minimum level of proficiency.
-
C.
isLessDevelopedArea
Indicates that one area has a lower level of development (e.g., economic, infrastructural, or social) compared to another or to a defined standard.
-
D.
isLessDevelopedThan
Indicates that one entity has a lower level of development, progress, or advancement compared to another entity.
-
E.
isLessPopulousThan
Indicates that one entity has a smaller population size than another entity.
- 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 21, 2026, 8:06 p.m.