Triple
T34472768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish diaspora |
E884947
|
entity |
| Predicate | hasApproximateSizeCategory |
P6061
|
FINISHED |
| Object | millions of people worldwide |
—
|
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: millions of people worldwide | Statement: [Finnish diaspora, hasApproximateSizeCategory, millions of people worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateSizeCategory Context triple: [Finnish diaspora, hasApproximateSizeCategory, millions of people worldwide]
-
A.
approximateSize
chosen
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
B.
hasApproximateLengthCategory
Indicates that one entity is classified into a broad or approximate category based on its length.
-
C.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
D.
approximateSizeIn2024
Indicates the estimated or roughly measured size of something as it is expected to be in the year 2024.
-
E.
hasCatalogueSize
Indicates that an entity possesses a catalogue containing a specified number of items or entries.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 1, 2026, 2:01 a.m.