Triple

T17559148
Position Surface form Disambiguated ID Type / Status
Subject HFS E427654 entity
Predicate hasPathSeparator P11855 FINISHED
Object / 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: / | Statement: [HFS, hasPathSeparator, /]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPathSeparator
Context triple: [HFS, hasPathSeparator, /]
  • A. hasSeparator chosen
    Indicates that one entity includes, uses, or is divided by another entity that serves as a separator or delimiting element.
  • B. hasPathAccess
    Indicates that one entity is permitted to traverse or use a specified path or route associated with another entity.
  • C. hasPattern
    Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
  • D. countsNewlineAsLineSeparator
    Indicates that newline characters are treated as the delimiters that separate one line from another.
  • E. hasPrefix
    Indicates that one entity occurs at the beginning of another entity, serving as its starting segment or initial substring.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45624bfe08190991dc088394a5af4 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.