Triple

T32623325
Position Surface form Disambiguated ID Type / Status
Subject Junkers W 33 Bremen E833987 entity
Predicate firstTransatlanticCrossingFrom P205121 FINISHED
Object Baldonnel Aerodrome, Ireland E833988 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: Baldonnel Aerodrome, Ireland | Statement: [Junkers W 33 Bremen, firstTransatlanticCrossingFrom, Baldonnel Aerodrome, Ireland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstTransatlanticCrossingFrom
Context triple: [Junkers W 33 Bremen, firstTransatlanticCrossingFrom, Baldonnel Aerodrome, Ireland]
  • A. transatlanticCrossing
    Indicates a journey or passage that crosses the Atlantic Ocean from one side to the other.
  • B. firstNonStopTransatlanticFlightFrom
    Indicates that the subject is the origin location of the first non-stop transatlantic flight associated with the object.
  • C. totalTransatlanticCrossings
    Indicates the number of times an entity has completed crossings across the Atlantic Ocean.
  • D. firstTransatlanticFlightDate
    Indicates the date on which an entity completed its first flight crossing the Atlantic Ocean.
  • E. firstNonStopTransatlanticFlightTo
    Indicates that the subject entity completed the first non-stop transatlantic flight whose destination was the object entity.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a34929d64748190b319bfd041bf53c9 completed June 19, 2026, 12:51 a.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037cab06288190b093935f235ddff2 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:06 a.m.