Triple
T25684935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Census of India |
E644040
|
entity |
| Predicate | malePopulation |
P158989
|
FINISHED |
| Object | 623724248 |
—
|
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: 623724248 | Statement: [2011 Census of India, malePopulation, 623724248]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: malePopulation Context triple: [2011 Census of India, malePopulation, 623724248]
-
A.
maleCaste
Indicates that the subject belongs to a caste or social group that is classified as male.
-
B.
hasGenderRatioMale
Indicates the proportion or percentage of male individuals within a given population or group.
-
C.
genderRatio
Indicates the proportional relationship between different genders within a given group or population.
-
D.
genderOfResidents
Indicates the gender identity or classification associated with the residents of a particular place or group.
-
E.
maleFeature
Indicates that the subject possesses a characteristic or attribute typically associated with males.
- 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_69f5fb7c000c819094efdcbb23ebddae |
completed | May 2, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 8:06 p.m.