Triple

T10423049
Position Surface form Disambiguated ID Type / Status
Subject Léman Pass E245708 entity
Predicate integratesNetwork P1075 FINISHED
Object Swiss public transport networks in the Geneva region 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: Swiss public transport networks in the Geneva region | Statement: [Léman Pass, integratesNetwork, Swiss public transport networks in the Geneva region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: integratesNetwork
Context triple: [Léman Pass, integratesNetwork, Swiss public transport networks in the Geneva region]
  • A. linkedNetwork
    Indicates that two entities are connected through a shared or associated network relationship.
  • B. integratesService
    Indicates that one entity connects with and enables the functionality of another service so they work together as a unified system.
  • C. integrates chosen
    Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
  • D. network
    Indicates that one entity is connected to or interacts with another through a system of relationships, communication, or information exchange.
  • E. 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.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2de4d48190aee65b3f6ec3cc48 completed April 7, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:12 p.m.