Triple

T32623316
Position Surface form Disambiguated ID Type / Status
Subject Junkers W 33 Bremen E833987 entity
Predicate notableFlightRoute P10707 FINISHED
Object Europe to North America 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: Europe to North America | Statement: [Junkers W 33 Bremen, notableFlightRoute, Europe to North America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableFlightRoute
Context triple: [Junkers W 33 Bremen, notableFlightRoute, Europe to North America]
  • A. flightRoute chosen
    Indicates a path or sequence of locations that a particular flight travels between, typically from its origin to its destination (and possibly via intermediate stops).
  • B. notablePilotOnRoute
    Indicates that a particular pilot is notably associated with operating or having operated a specific route.
  • C. plannedCommercialRoute
    Indicates that there is an intended or scheduled commercial route or path planned between entities, typically for trade, transport, or business operations.
  • D. primaryAirlineRoutesTo
    Indicates that one airline serves as the main carrier operating direct or regular flight routes to a particular destination or airport.
  • E. notableRouteType
    Indicates that a route is particularly significant or well-known for a specific type or category (e.g., scenic, historic, commercial).
  • 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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:06 a.m.