Triple
T10277813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troppau |
E241013
|
entity |
| Predicate | historicalPopulationMajority |
P21204
|
FINISHED |
| Object | German-speaking |
—
|
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: German-speaking | Statement: [Troppau, historicalPopulationMajority, German-speaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPopulationMajority Context triple: [Troppau, historicalPopulationMajority, German-speaking]
-
A.
historicalPopulationCharacteristic
Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
-
B.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
D.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
E.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:37 a.m.