Triple

T1647167
Position Surface form Disambiguated ID Type / Status
Subject Malaysia Time E35608 entity
Predicate timeNotationAlsoUsed P2162 FINISHED
Object 12-hour clock 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: 12-hour clock | Statement: [Malaysia Time, timeNotationAlsoUsed, 12-hour clock]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeNotationAlsoUsed
Context triple: [Malaysia Time, timeNotationAlsoUsed, 12-hour clock]
  • A. timeNotation chosen
    Indicates the specific system or format used to represent and write times (e.g., 12-hour vs 24-hour notation).
  • B. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • C. timeType
    Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
  • D. timeStructure
    Indicates that one entity defines, constrains, or organizes the temporal framework or schedule within which another entity exists or operates.
  • E. usedForCivilTimeIn
    Indicates that something (typically a time scale or standard) is used as the basis for keeping official civil time within a specified region or jurisdiction.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaa0fbe984819084f8daee81ca9b67 completed March 6, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69a907ce4dd881909168a1e99505d4ec completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.