Triple
T13282686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Inari |
E316363
|
entity |
| Predicate | areaRankInFinland |
P1170
|
FINISHED |
| Object | third-largest lake in Finland |
—
|
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: third-largest lake in Finland | Statement: [Lake Inari, areaRankInFinland, third-largest lake in Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInFinland Context triple: [Lake Inari, areaRankInFinland, third-largest lake in Finland]
-
A.
populationShareInFinland
Indicates the proportion of a given population or group relative to the total population within Finland.
-
B.
chartPositionFinland
Indicates the ranking or position something holds on a music or performance chart specifically in Finland.
-
C.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
D.
hasPopulationRankInEstonia
Indicates the relative position of an entity in the ordered list of populations within Estonia, such as its rank by population size compared to other entities in the country.
-
E.
populationRankInFinlandBeforeWWII
Indicates the relative position of an entity in the ordered list of population sizes within Finland prior to World War II.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.