Triple
T8606098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballangen |
E203800
|
entity |
| Predicate | populationAsOf2019 |
P5555
|
FINISHED |
| Object | approximately 2,500 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 2,500 inhabitants | Statement: [Ballangen, populationAsOf2019, approximately 2,500 inhabitants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationAsOf2019 Context triple: [Ballangen, populationAsOf2019, approximately 2,500 inhabitants]
-
A.
hasPopulationAsOf
chosen
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
B.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
C.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
E.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46e9b6a881908f6a6c847519e5e5 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.