Triple
T26818118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Glacial Period |
E675171
|
entity |
| Predicate | regionNameInNorthernEurope |
P180696
|
FINISHED |
| Object | Weichselian glaciation |
—
|
NE NERFINISHED |
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: Weichselian glaciation | Statement: [Last Glacial Period, regionNameInNorthernEurope, Weichselian glaciation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionNameInNorthernEurope Context triple: [Last Glacial Period, regionNameInNorthernEurope, Weichselian glaciation]
-
A.
europeanRegion
Indicates that an entity is located in, associated with, or classified as part of a region within Europe.
-
B.
locatedInNorthernEurope
Indicates that the subject is geographically situated within the region of Northern Europe.
-
C.
europeanUnionRegion
Indicates that an entity is located in, associated with, or falls under the jurisdiction of a region defined by or within the European Union.
-
D.
ITURegion
Indicates the International Telecommunication Union (ITU) regional classification to which an entity (such as a location or station) belongs.
-
E.
regionTypeNorth
Indicates that one region is classified as the northern part or northern type relative to another region or a larger geographic context.
- F. None of above. chosen
Provenance (4 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 27, 2026, 4:53 a.m.