Triple
T1215357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Reich |
E26094
|
entity |
| Predicate | territorialControlAtPeak |
P8868
|
FINISHED |
| Object | large parts of Europe |
—
|
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: large parts of Europe | Statement: [Third Reich, territorialControlAtPeak, large parts of Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territorialControlAtPeak Context triple: [Third Reich, territorialControlAtPeak, large parts of Europe]
-
A.
wasCoreTerritoryOf
Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
-
B.
hasLargestContinuousLandAreaOn
Indicates that an entity possesses the greatest uninterrupted expanse of land on a specified geographic region or surface compared to all other entities.
-
C.
territorialExtent
chosen
Indicates the geographic area or spatial range over which something extends, applies, or has jurisdiction.
-
D.
landAreaSquareMiles
Indicates the size of a geographic area measured in square miles.
-
E.
populationAtPeak
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be0370b4819093618930f4eecfcc |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.