Triple

T26912504
Position Surface form Disambiguated ID Type / Status
Subject Mountain Standard Time (no DST, Arizona) E677426 entity
Predicate correspondsToAbbreviation P45686 FINISHED
Object MST 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: MST | Statement: [Mountain Standard Time (no DST, Arizona), correspondsToAbbreviation, MST]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: correspondsToAbbreviation
Context triple: [Mountain Standard Time (no DST, Arizona), correspondsToAbbreviation, MST]
  • A. correspondsToAbbreviationInGerman
    Indicates that one entity is the full form or concept for which the other entity serves as the corresponding abbreviation in the German language.
  • B. isAbbreviation chosen
    Indicates that one term is a shortened or abbreviated form of another term.
  • C. correspondsToAbbreviationInFrench
    Indicates that one entity is the full form or expression for which the other entity serves as the abbreviation in French.
  • D. correspondsToGermanAbbreviation
    Indicates that one entity is the German-language abbreviation or acronym that corresponds to, or represents, the other entity.
  • E. canBeUsedWithAbbreviation
    Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
  • 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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641dc8ff48190ab575d855616580c completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 6:02 a.m.