Triple

T1696327
Position Surface form Disambiguated ID Type / Status
Subject Blacker E36665 entity
Predicate wordClass P12863 FINISHED
Object adjective 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: adjective | Statement: [Blacker, wordClass, adjective]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wordClass
Context triple: [Blacker, wordClass, adjective]
  • A. lexicalItem
    Indicates that one entity is a word or vocabulary unit associated with, or used to express, another entity (such as a concept, meaning, or linguistic entry).
  • B. grammaticalType chosen
    Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
  • C. positionClass
    Indicates the classification or category assigned to an entity based on its role, rank, or position within a defined structure or system.
  • D. linguisticClassification
    Indicates the relationship by which an entity is categorized according to its language or linguistic type.
  • E. keyWorkOfGrammar
    Indicates that something is a central or foundational work within the field of grammar.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf169da888190b3aa334752f1952b completed March 6, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69aa61b8ce348190b46154af0b041ff0 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.