Triple
T30881638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khojavend District |
E786629
|
entity |
| Predicate | ethnicCompositionHistory |
P76422
|
FINISHED |
| Object | ethnic Azerbaijani population |
—
|
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: ethnic Azerbaijani population | Statement: [Khojavend District, ethnicCompositionHistory, ethnic Azerbaijani population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCompositionHistory Context triple: [Khojavend District, ethnicCompositionHistory, ethnic Azerbaijani population]
-
A.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
B.
historicalEthnicGroups
chosen
Indicates that there is a historically attested ethnic group or groups associated with the subject entity.
-
C.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
-
D.
historicalPopulationCharacteristic
Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
-
E.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 8:48 p.m.