Triple

T11630709
Position Surface form Disambiguated ID Type / Status
Subject Bundestag electoral district E276387 entity
Predicate notCrossing P100661 FINISHED
Object state borders (Ländergrenzen) in normal cases 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: state borders (Ländergrenzen) in normal cases | Statement: [Bundestag electoral district, notCrossing, state borders (Ländergrenzen) in normal cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notCrossing
Context triple: [Bundestag electoral district, notCrossing, state borders (Ländergrenzen) in normal cases]
  • A. crossingOf
    Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
  • B. crossedBy
    Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
  • C. crossesBetween
    Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
  • D. crossesNear
    Indicates that one entity passes across the path or area of another entity at a location that is close to, but not directly intersecting, the other entity.
  • E. hasCross
    Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
PDg Predicate description generation batch_69d87f2e67108190ac36bf47aac12fa8 completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:39 p.m.