Triple

T34897738
Position Surface form Disambiguated ID Type / Status
Subject Jesewitz E1006486 entity
Predicate hasTransportAssociation P43050 FINISHED
Object Mitteldeutscher Verkehrsverbund E1848536 NE 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: Mitteldeutscher Verkehrsverbund | Statement: [Jesewitz, hasTransportAssociation, Mitteldeutscher Verkehrsverbund]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransportAssociation
Context triple: [Jesewitz, hasTransportAssociation, Mitteldeutscher Verkehrsverbund]
  • A. hasTransportationRelation chosen
    Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
  • B. transportAssociated
    Indicates an association between entities where one is involved in, related to, or characterized by the transport or movement of the other.
  • C. hasTransportCode
    Indicates that an entity is associated with a specific transport-related code used to identify or classify its mode, method, or details of transportation.
  • D. hasTransportCategory
    Indicates that one entity is classified under a particular category or type of transport associated with another entity.
  • E. hasTransporters
    Indicates that one entity possesses, provides, or is equipped with one or more means of transportation for another entity or purpose.
  • F. None of above.

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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff956dc6548190979171d4b4068d47 completed May 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786e654588190b4c79cf15f6b8618 completed June 21, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69ff93dc39c481908a97a12c3ef7dfe7 completed May 9, 2026, 8:06 p.m.
Created at: May 3, 2026, 4 p.m.