Triple
T34615867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kommunalreformen 2007 |
E888861
|
entity |
| Predicate | minimumMunicipalityPopulationTarget |
P65950
|
FINISHED |
| Object | 20000 |
—
|
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: 20000 | Statement: [Kommunalreformen 2007, minimumMunicipalityPopulationTarget, 20000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumMunicipalityPopulationTarget Context triple: [Kommunalreformen 2007, minimumMunicipalityPopulationTarget, 20000]
-
A.
populationRequirement
chosen
Indicates that a certain minimum or specific population size is required for something (e.g., an action, status, or condition) to apply or be valid.
-
B.
populationThreshold
Indicates that a population has reached, exceeded, or fallen below a specified numerical limit used as a critical or decision-making boundary.
-
C.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
-
D.
typicalPopulationThreshold
Indicates the population level above which a place is typically considered to meet a particular classification or status.
-
E.
hasVerySmallResidentPopulation
Indicates that the subject location has a resident population that is extremely small in size.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:03 a.m.