Triple

T27560036
Position Surface form Disambiguated ID Type / Status
Subject GitHub Flavored Markdown E695745 entity
Predicate supportsTableAlignment P107477 FINISHED
Object :--- and ---: LITERAL 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: :--- and ---: | Statement: [GitHub Flavored Markdown, supportsTableAlignment, :--- and ---:]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsTableAlignment
Context triple: [GitHub Flavored Markdown, supportsTableAlignment, :--- and ---:]
  • A. supportsAlignment chosen
    Indicates that one entity is compatible with and can properly function or operate in conjunction with a specified alignment, configuration, or standard.
  • B. hasAlignment
    Indicates that one entity shares or exhibits a particular orientation, stance, or compatibility in relation to another entity or standard.
  • C. rowAlignment
    Indicates that multiple items are arranged in a row with a specified horizontal alignment relative to each other or to a reference.
  • D. requiresAlignment
    Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
  • E. hasAlignmentType
    Indicates that an entity possesses a specific alignment category or classification, such as moral, structural, or directional alignment.
  • F. None of above.

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_69ef5387e97c8190a9dab040d21cd048 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69fef2db323c8190821bda53f22a42be completed May 9, 2026, 8:39 a.m.
PD Predicate disambiguation batch_69fef21d63c88190abf6a99b59b3c655 completed May 9, 2026, 8:36 a.m.
Created at: April 27, 2026, 1:38 p.m.