Triple

T1621203
Position Surface form Disambiguated ID Type / Status
Subject GitHub Pages E35034 entity
Predicate contentLimit P16655 FINISHED
Object 1 GB recommended 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: 1 GB recommended | Statement: [GitHub Pages, contentLimit, 1 GB recommended]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentLimit
Context triple: [GitHub Pages, contentLimit, 1 GB recommended]
  • A. gLimit chosen
    Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
  • B. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • C. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • D. hasLimitedCorpus
    Indicates that the associated entity possesses only a small or restricted set of available data, texts, or examples for use or analysis.
  • E. aimedToLimit
    Indicates an action or policy that was intentionally directed toward restricting, reducing, or constraining something.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf4a0ef748190ae52b9656474c0ef completed March 6, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69a907c731808190a1d998155041b3c1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.