Triple

T9191655
Position Surface form Disambiguated ID Type / Status
Subject AES67 E220603 entity
Predicate fullName P16 FINISHED
Object AES67-2018 E220603 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: AES67-2018 | Statement: [AES67, fullName, AES67-2018]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AES67-2018
Context triple: [AES67, fullName, AES67-2018]
  • A. AES67 chosen
    AES67 is an audio-over-IP interoperability standard that enables high-performance, low-latency audio streaming across different networked audio systems.
  • B. SMPTE ST 2059
    SMPTE ST 2059 is a professional media industry standard that defines how to use IEEE 1588 Precision Time Protocol to synchronize clocks and signals across IP-based audio, video, and broadcast systems.
  • C. SMPTE ST 2067
    SMPTE ST 2067, also known as the Interoperable Master Format (IMF), is a standardized framework for file-based digital cinema and television mastering that enables efficient versioning, distribution, and archiving of audiovisual content.
  • D. ITU-R M.1457
    ITU-R M.1457 is an ITU Radiocommunication Sector recommendation that defines the detailed radio interface specifications for third-generation (3G) IMT-2000 mobile communication systems.
  • E. SMPTE ST 2022
    SMPTE ST 2022 is a family of standards from the Society of Motion Picture and Television Engineers that defines the transport of professional audio, video, and ancillary data over IP networks, including methods for encapsulation, error correction, and redundancy.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.