Triple
T26077164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermentrud |
E657717
|
entity |
| Predicate | typicalCulturalRegion |
P1968
|
FINISHED |
| Object | medieval 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: medieval Europe | Statement: [Ermentrud, typicalCulturalRegion, medieval Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCulturalRegion Context triple: [Ermentrud, typicalCulturalRegion, medieval Europe]
-
A.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
B.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
C.
typicalRegionType
Indicates that a region is of a characteristic or commonly occurring type for a given context or entity.
-
D.
ethnicRegionOfFocus
Indicates that a particular ethnic group or ethnicity is the primary regional focus or subject of attention in a given context.
-
E.
ethnicRegionalBase
Indicates that an entity’s support, identity, or operations are primarily rooted in a specific ethnic group within a particular geographic region.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 26, 2026, 7:35 p.m.