Triple
T8877475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonk State |
E211322
|
entity |
| Predicate | populationCensus1931 |
P53422
|
FINISHED |
| Object | approximately 273,000 |
—
|
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: approximately 273,000 | Statement: [Tonk State, populationCensus1931, approximately 273,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCensus1931 Context triple: [Tonk State, populationCensus1931, approximately 273,000]
-
A.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
B.
frequencyOfCensus
Indicates how often a census is conducted or occurs within a given context or jurisdiction.
-
C.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
-
D.
censusReportedIn
chosen
Indicates that information about a population or demographic count is documented or recorded in a specific census.
-
E.
populationBasis
Indicates that a population measurement is based on, derived from, or defined with respect to a particular reference, criterion, or underlying basis.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:52 p.m.