Triple

T6697242
Position Surface form Disambiguated ID Type / Status
Subject Wavre E152779 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WAV
WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
E610598 NE FINISHED

How this triple was built (4 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: WAV | Statement: [Wavre, vehicleRegistrationCode, WAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAV
Context triple: [Wavre, vehicleRegistrationCode, WAV]
  • A. WMV
    WMV (Windows Media Video) is a series of Microsoft-developed video compression formats commonly used for streaming and storing digital video on Windows platforms.
  • B. FLAC
    FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving and playback.
  • C. RIFF
    RIFF is an annual international film festival held in Reykjavík, Iceland, showcasing independent and innovative cinema from around the world.
  • D. OGG
    OGG is the IATA airport code for Kahului Airport, the primary commercial airport serving the island of Maui in Hawaii.
  • E. MPEG-1 Layer II audio
    MPEG-1 Layer II audio is a lossy audio compression format widely used in digital broadcasting and early digital media for efficient, good-quality stereo sound.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WAV
Triple: [Wavre, vehicleRegistrationCode, WAV]
Generated description
WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WAV
Target entity description: WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
  • A. WMV
    WMV (Windows Media Video) is a series of Microsoft-developed video compression formats commonly used for streaming and storing digital video on Windows platforms.
  • B. FLAC
    FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving and playback.
  • C. RIFF
    RIFF is an annual international film festival held in Reykjavík, Iceland, showcasing independent and innovative cinema from around the world.
  • D. OGG
    OGG is the IATA airport code for Kahului Airport, the primary commercial airport serving the island of Maui in Hawaii.
  • E. MPEG-1 Layer II audio
    MPEG-1 Layer II audio is a lossy audio compression format widely used in digital broadcasting and early digital media for efficient, good-quality stereo sound.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a4da9881908d79c410b4cff868 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bd965881908a128d97f1c94dd0 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f86fb37c8190ba0ed52d998643d6 completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8d6c9d481908d988984e0aed6bc completed March 27, 2026, 9:38 p.m.
Created at: March 27, 2026, 2:05 p.m.