Triple
T2959545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erivan uezd |
E80011
|
entity |
| Predicate | census |
P45218
|
FINISHED |
| Object | 1897 Russian Empire Census |
—
|
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: 1897 Russian Empire Census | Statement: [Erivan uezd, census, 1897 Russian Empire Census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: census Context triple: [Erivan uezd, census, 1897 Russian Empire Census]
-
A.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
B.
frequencyOfCensus
Indicates how often a census is conducted or occurs within a given context or jurisdiction.
-
C.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
D.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
E.
censusDefinedAs
Indicates that one entity is formally specified, characterized, or classified by another according to census definitions or criteria.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992dd4248190b5f3d4f342593b8c |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.