Triple

T7033682
Position Surface form Disambiguated ID Type / Status
Subject Flash Video E163327 entity
Predicate containerType P34427 FINISHED
Object FLV E163327 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: FLV | Statement: [Flash Video, containerType, FLV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FLV
Context triple: [Flash Video, containerType, FLV]
  • A. Flash Video chosen
    Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
  • B. AVI
    AVI (Audio Video Interleave) is a multimedia container format developed by Microsoft for storing synchronized audio and video data.
  • C. MPEG
    MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
  • D. 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.
  • E. SWF
    SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2118fc88190a0751ca18eafb4a5 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:36 p.m.