Triple

T16696737
Position Surface form Disambiguated ID Type / Status
Subject AWGE E405734 entity
Predicate hasSubBrand P6092 FINISHED
Object AWGE DVD E405734 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: AWGE DVD | Statement: [AWGE, hasSubBrand, AWGE DVD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWGE DVD
Context triple: [AWGE, hasSubBrand, AWGE DVD]
  • A. AWGE chosen
    AWGE is a creative collective and record label founded by A$AP Rocky, known for its work in music, fashion, and visual art within the hip-hop scene.
  • B. WGE
    WGE is the abbreviation for the Working Group on Evaluations and Compliance, a body focused on assessing and ensuring adherence to established standards or agreements.
  • C. AVGO
    AVGO is the stock ticker symbol for Broadcom Inc., a major global semiconductor and infrastructure software company.
  • D. AWE
    AWE is the ICAO airline designator used to identify US Airways in aviation operations and communications.
  • E. AWAE
    AWAE (Advanced Web Attacks and Exploitation) is an advanced web application penetration testing and exploitation course focused on teaching in-depth offensive security techniques to experienced security professionals.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eadc35881909fb0cc405a0e2fae completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919d02088190acecb1a62a100255 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.