Triple

T1959674
Position Surface form Disambiguated ID Type / Status
Subject Aeromar E42352 entity
Predicate IATACode P418 FINISHED
Object VW E196132 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: VW | Statement: [Aeromar, IATACode, VW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VW
Context triple: [Aeromar, IATACode, VW]
  • A. Audi
    Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
  • B. Volkswagen Truck & Bus
    Volkswagen Truck & Bus is a commercial vehicle manufacturer within the Volkswagen Group, known for producing trucks and buses for global markets.
  • C. Volkswagen Group
    Volkswagen Group is a major German multinational automotive manufacturer that owns brands such as Volkswagen, Audi, Porsche, and Škoda and is one of the largest car producers in the world.
  • D. Volkswagen Passenger Cars chosen
    Volkswagen Passenger Cars is the core automotive brand of the Volkswagen Group, producing a wide range of mass-market vehicles sold globally.
  • E. Porsche
    Porsche is a German luxury automobile manufacturer renowned for its high-performance sports cars, SUVs, and engineering excellence.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37f737881908130bb828affcaa2 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95eb4db481909ab7507147f1d674 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:36 p.m.