Triple

T26724167
Position Surface form Disambiguated ID Type / Status
Subject Freiburg Hauptbahnhof E673787 entity
Predicate isIntegratedIn P15157 FINISHED
Object Freiburger Verkehrs AG network 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: Freiburger Verkehrs AG network | Statement: [Freiburg Hauptbahnhof, isIntegratedIn, Freiburger Verkehrs AG network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isIntegratedIn
Context triple: [Freiburg Hauptbahnhof, isIntegratedIn, Freiburger Verkehrs AG network]
  • A. integratedIn chosen
    Indicates that one entity is incorporated as a component or part within a larger system, structure, or context represented by another entity.
  • B. isStateIntegrated
    Indicates that an entity is formally incorporated into and functions as part of a larger state or governmental system.
  • C. mayBeIntegratedWith
    Indicates that one entity has the potential or capability to be combined or incorporated with another entity into a unified or interoperable whole.
  • D. isIntegrableFor
    Indicates that a given function or expression can be integrated with respect to a specified variable, domain, or measure.
  • E. isIntegrableIn
    Indicates that a function or expression can be integrated with respect to a given variable, domain, or measure under the specified conditions.
  • 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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 3:41 a.m.