Triple

T868676
Position Surface form Disambiguated ID Type / Status
Subject ISO 639 E18761 entity
Predicate relatedTo P37 FINISHED
Object IETF language tags
IETF language tags are standardized codes used on the internet to identify human languages and their regional or script variants for purposes like content negotiation and localization.
E18761 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: IETF language tags | Statement: [ISO 639, relatedTo, IETF language tags]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IETF language tags
Context triple: [ISO 639, relatedTo, IETF language tags]
  • A. ISO 639
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • B. Unicode Technical Standard #10
    Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
  • C. Unicode Consortium
    The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
  • D. Unicode Technical Report #29
    Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
  • E. RFC 4217
    RFC 4217 is an Internet standard that specifies how to secure FTP sessions using Transport Layer Security (TLS), commonly known as FTPS.
  • 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: IETF language tags
Triple: [ISO 639, relatedTo, IETF language tags]
Generated description
IETF language tags are standardized codes used on the internet to identify human languages and their regional or script variants for purposes like content negotiation and localization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IETF language tags
Target entity description: IETF language tags are standardized codes used on the internet to identify human languages and their regional or script variants for purposes like content negotiation and localization.
  • A. ISO 639 chosen
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • B. Unicode Technical Standard #10
    Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
  • C. Unicode Consortium
    The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
  • D. Unicode Technical Report #29
    Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
  • E. RFC 4217
    RFC 4217 is an Internet standard that specifies how to secure FTP sessions using Transport Layer Security (TLS), commonly known as FTPS.
  • F. None of above.

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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7f98908190883f71049092c7c8 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c9e7ec819081d58634fe0efdcb completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a44c2d5881909d006ddf9f9ed694 completed March 4, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7a4a811bc819093bd436de45afa97 completed March 4, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:39 p.m.