Triple

T8756078
Position Surface form Disambiguated ID Type / Status
Subject YAML E208075 entity
Predicate fullName P16 FINISHED
Object YAML Ain't Markup Language E208075 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: YAML Ain't Markup Language | Statement: [YAML, fullName, YAML Ain't Markup Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YAML Ain't Markup Language
Context triple: [YAML, fullName, YAML Ain't Markup Language]
  • A. YAML chosen
    YAML is a human-readable data serialization language commonly used for configuration files and data exchange, emphasizing simplicity and ease of editing.
  • B. YAM
    YAM is the IATA airport code for Sault Ste. Marie Airport in Ontario, Canada.
  • C. TOML
    TOML is a human-readable configuration file format designed for simplicity and unambiguous parsing, commonly used in modern software tooling and package managers.
  • D. CommonMark
    CommonMark is a standardized, highly compatible specification of Markdown syntax designed to eliminate ambiguities and ensure consistent rendering across different implementations.
  • E. Yalamlam
    Yalamlam is a mountainous area in western Saudi Arabia that serves as one of the designated entry points (miqats) where pilgrims intending Hajj or Umrah enter the state of ihram.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4338c0f88190a1e3f7ef164b6c6d completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.