Triple

T8486702
Position Surface form Disambiguated ID Type / Status
Subject Content-Language E200848 entity
Predicate languageTagStandard P6195 FINISHED
Object RFC 5646 E682197 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: RFC 5646 | Statement: [Content-Language, languageTagStandard, RFC 5646]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RFC 5646
Context triple: [Content-Language, languageTagStandard, RFC 5646]
  • A. IETF BCP 47 chosen
    IETF BCP 47 is the Internet standard that defines the structure and use of language tags for identifying human languages and related variants in digital systems.
  • B. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • C. SSH Language Tags
    SSH Language Tags are standardized identifiers used within the SSH protocol to specify human languages for messages and data, enabling proper localization and internationalization.
  • D. ISO 639
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • E. RFC 2579
    RFC 2579 is an Internet standards document that defines textual conventions for use with the Structure of Management Information Version 2 (SMIv2) in network management protocols like SNMP.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4576d48c8190a3e94d8ab3001b65 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4df197c48190812c5287119e5528 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:13 p.m.