Triple

T2857059
Position Surface form Disambiguated ID Type / Status
Subject Megabus E63225 entity
Predicate competitor P1375 FINISHED
Object FlixBus E270812 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: FlixBus | Statement: [Megabus, competitor, FlixBus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FlixBus
Context triple: [Megabus, competitor, FlixBus]
  • A. FlixBus chosen
    FlixBus is a long-distance intercity bus company offering low-cost coach travel across numerous cities in North America and Europe.
  • B. Megabus
    Megabus is a low-cost intercity coach service known for operating long-distance bus routes across major cities in North America and Europe.
  • C. FlyAway Bus
    FlyAway Bus is an express shuttle service that provides direct, frequent connections between Los Angeles International Airport and key locations throughout the Los Angeles area.
  • D. DB Fernverkehr
    DB Fernverkehr is the long-distance passenger rail division of Germany’s national railway company, operating Intercity, Eurocity, and high-speed ICE train services across Germany and neighboring countries.
  • E. ST Express bus
    ST Express bus is a regional express bus service in the Puget Sound area of Washington State, providing fast, limited-stop connections between major cities and transit hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf881bbc81908987317b88b405d0 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d91f6448190866f6ee0491041cf completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.