Triple
T7700697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viipuri |
E174484
|
entity |
| Predicate | demographicFeatureBeforeWWII |
P67966
|
FINISHED |
| Object | ethnically mixed 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: ethnically mixed population | Statement: [Viipuri, demographicFeatureBeforeWWII, ethnically mixed population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicFeatureBeforeWWII Context triple: [Viipuri, demographicFeatureBeforeWWII, ethnically mixed population]
-
A.
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.
-
B.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
C.
formerPopulation
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
D.
demographicScope
Indicates the specific population group or demographic segment to which something (e.g., a policy, study, product, or service) is targeted or applicable.
-
E.
regionBefore1945
Indicates that one region existed or was defined in a particular way prior to the year 1945.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.