Triple

T2108372
Position Surface form Disambiguated ID Type / Status
Subject SMPTE ST 2022 E42446 entity
Predicate shortName P43 FINISHED
Object ST 2022
ST 2022 is a family of SMPTE standards that define the transport of professional audio and video over IP networks, including compressed and uncompressed media streams.
 E234532 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: ST 2022 | Statement: [SMPTE ST 2022, shortName, ST 2022]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ST 2022
Context triple: [SMPTE ST 2022, shortName, ST 2022]
  • A. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • B. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • C. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • D. STP-2
    STP-2 was a U.S. Department of Defense Space Test Program mission that used a SpaceX Falcon Heavy rocket to deploy multiple experimental and technology demonstration payloads into orbit.
  • E. STRI
    STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
  • 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: ST 2022
Triple: [SMPTE ST 2022, shortName, ST 2022]
Generated description
ST 2022 is a family of SMPTE standards that define the transport of professional audio and video over IP networks, including compressed and uncompressed media streams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ST 2022
Target entity description: ST 2022 is a family of SMPTE standards that define the transport of professional audio and video over IP networks, including compressed and uncompressed media streams.
  • A. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • B. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • C. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • D. STP-2
    STP-2 was a U.S. Department of Defense Space Test Program mission that used a SpaceX Falcon Heavy rocket to deploy multiple experimental and technology demonstration payloads into orbit.
  • E. STRI
    STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbae03f308190841f5a419bb821f6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306ff3a481909ce3c34edb3ab0e2 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae3112c4648190952ad02ef8037b36 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae3199909881909ffca021098c98ea completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:43 p.m.