Triple
T27629173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanimaka |
E696290
|
entity |
| Predicate | historicalPopulationComposition |
P67966
|
FINISHED |
| Object | Bulgarians |
—
|
NE NERFINISHED |
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: Bulgarians | Statement: [Stanimaka, historicalPopulationComposition, Bulgarians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPopulationComposition Context triple: [Stanimaka, historicalPopulationComposition, Bulgarians]
-
A.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
B.
historicalPopulationCharacteristic
chosen
Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
-
C.
historicalPopulationContext
Indicates the relationship between a population figure and the specific historical period or circumstances in which that population size occurred.
-
D.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
E.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 27, 2026, 2:20 p.m.