Triple
T33754539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drammensdalen |
E864937
|
entity |
| Predicate | isPopulated |
P75318
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Drammensdalen, isPopulated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopulated Context triple: [Drammensdalen, isPopulated, true]
-
A.
isDenselyPopulated
Indicates that a place has a high concentration of inhabitants relative to its area.
-
B.
previouslyPopulatedBy
Indicates that an entity was formerly inhabited, occupied, or filled by another entity at some time in the past.
-
C.
hasCorePopulation
Indicates that an entity possesses a central or primary group of individuals that constitute its main population.
-
D.
hasEffectiveFillingFactor
Indicates that an entity is associated with a specific effective filling factor value, quantifying how fully a given space, capacity, or medium is occupied or utilized.
-
E.
isInhabitedRegion
chosen
Indicates that a region has living beings (such as humans or animals) residing within its boundaries.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb91fed4819087217c53d6fecf28 |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96ea0c08190902a3d0e1f263e8c |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:45 a.m.