Triple
T11326056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roskilde |
E268221
|
entity |
| Predicate | hasMunicipalPopulation |
P38055
|
FINISHED |
| Object | approximately 90,000 inhabitants |
—
|
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: approximately 90,000 inhabitants | Statement: [Roskilde, hasMunicipalPopulation, approximately 90,000 inhabitants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalPopulation Context triple: [Roskilde, hasMunicipalPopulation, approximately 90,000 inhabitants]
-
A.
municipalityPopulation
chosen
Indicates the total number of inhabitants living within a given municipality.
-
B.
isMostPopulousMunicipalityOf
Indicates that a municipality has the largest population among all municipalities within the specified administrative area or region.
-
C.
metroPopulationContext
Indicates that the population value is measured or interpreted specifically within the context of a metropolitan area (metro region) rather than another geographic or administrative unit.
-
D.
hasResidentPopulation
Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
-
E.
hasNumberOfMunicipalities
Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.