Triple
T35906038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuzuli region |
E1038473
|
entity |
| Predicate | preWarPopulationEthnicity |
P157967
|
FINISHED |
| Object | Azerbaijani majority |
—
|
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: Azerbaijani majority | Statement: [Fuzuli region, preWarPopulationEthnicity, Azerbaijani majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarPopulationEthnicity Context triple: [Fuzuli region, preWarPopulationEthnicity, Azerbaijani majority]
-
A.
preWarEthnicComposition
chosen
Indicates the ethnic makeup or distribution of ethnic groups in a place or population before a specific war or armed conflict.
-
B.
preWarPopulation
Indicates the population size of an entity as it existed before a specified war or conflict.
-
C.
preWarPopulationTrend
Indicates how a population was changing (growing, shrinking, or remaining stable) during the period leading up to a war.
-
D.
populationDuringWar
Indicates the size or composition of a population during a specified war or wartime period.
-
E.
preWorldWarIIPopulationEstimate
Indicates an estimated value for an entity’s population during the period before the start of World War II.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.