Triple
T4342285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protectorate government |
E97809
|
entity |
| Predicate | demographyContext |
P232
|
FINISHED |
| Object | majority ethnic Czech population under occupation |
—
|
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: majority ethnic Czech population under occupation | Statement: [Protectorate government, demographyContext, majority ethnic Czech population under occupation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographyContext Context triple: [Protectorate government, demographyContext, majority ethnic Czech population under occupation]
-
A.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
B.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
C.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
D.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
-
E.
demographicsNote
chosen
Indicates that there is an associated note or commentary describing demographic-related information about an 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.