Triple
T3975273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shusha uezd |
E85623
|
entity |
| Predicate | includedInCensus |
P53267
|
FINISHED |
| Object | Russian Empire Census of 1897 |
—
|
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: Russian Empire Census of 1897 | Statement: [Shusha uezd, includedInCensus, Russian Empire Census of 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInCensus Context triple: [Shusha uezd, includedInCensus, Russian Empire Census of 1897]
-
A.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
B.
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.
-
C.
containsCensusDesignatedPlace
Indicates that one geographic or administrative area includes within its boundaries a census-designated place.
-
D.
basedOnCensusYear
Indicates that something (such as data, a decision, or a classification) is derived from or determined using information from a specific census year.
-
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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefac8f7a48190b065487ce090eaf2 |
completed | March 9, 2026, 4:52 p.m. |
Created at: March 9, 2026, 3:33 p.m.