Triple
T14942231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordkapp Municipality |
E372557
|
entity |
| Predicate | hasMidnightSunPeriod |
P50323
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nordkapp Municipality, hasMidnightSunPeriod, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMidnightSunPeriod Context triple: [Nordkapp Municipality, hasMidnightSunPeriod, yes]
-
A.
hasMidnightSun
chosen
Indicates that a place experiences the natural phenomenon where the sun remains visible at local midnight for a continuous period.
-
B.
hasTropicOfCapricornCrossing
Indicates that the referenced geographic entity is intersected or crossed by the Tropic of Capricorn.
-
C.
hasPolarNightUntil
Indicates that a location experiences continuous night (polar night) up to a specified date or time.
-
D.
seasonOfPolarNight
Indicates the season during which a location experiences continuous or near-continuous polar night (absence of direct sunlight for an extended period).
-
E.
hasSolarDayLength
Indicates that an entity is associated with a specific duration for one complete solar day (the time between successive noons).
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:38 a.m.