Triple

T34698802
Position Surface form Disambiguated ID Type / Status
Subject D2 motorway E1000302 entity
Predicate connectsToNetworkIn P128636 FINISHED
Object Czech Republic NE NERFINISHED

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: Czech Republic | Statement: [D2 motorway, connectsToNetworkIn, Czech Republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsToNetworkIn
Context triple: [D2 motorway, connectsToNetworkIn, Czech Republic]
  • A. isOnNetwork
    Indicates that an entity is currently connected to, accessible through, or operating within a specified network.
  • B. inNetwork
    Indicates that one entity is within the same defined network, system, or coverage group as another entity, such that network-based interactions or benefits apply between them.
  • C. isPartOfNetworkEnd
    Indicates that an entity functions as a terminal or boundary component within a larger network structure or system.
  • D. isPartOfNetworkServing
    Indicates that one entity functions as a component within, or is supported by, a particular network that provides services to it or through it.
  • E. intendedNetwork chosen
    Indicates the network that an entity is planned, designed, or expected to connect to or operate within.
  • 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_69f76dab937881909c86f1b9ad50445f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff64b957bc81908afbc5914234a8ea completed May 9, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69ff6446593c81909173e296eea2590c completed May 9, 2026, 4:43 p.m.
Created at: May 3, 2026, 3:59 p.m.