Triple

T35218125
Position Surface form Disambiguated ID Type / Status
Subject HOSR E1016871 entity
Predicate usesTiming P67082 FINISHED
Object staggered starts 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: staggered starts | Statement: [HOSR, usesTiming, staggered starts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTiming
Context triple: [HOSR, usesTiming, staggered starts]
  • A. requiresTiming
    Indicates that one entity’s occurrence, execution, or validity depends on being coordinated with a specific time or temporal condition related to another entity.
  • B. usesTimingRules chosen
    Indicates that one entity applies or operates according to specified timing rules or constraints in relation to another entity or process.
  • C. executionTiming
    Indicates the temporal characteristics or schedule of when an action, process, or event is carried out.
  • D. hasTimingCapability
    Indicates that an entity possesses the ability to measure, control, or manage timing-related aspects of an operation or process.
  • E. usesInterval
    Indicates that one entity operates, functions, or is defined within a specific time or value interval associated with another entity.
  • 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_69f76de072908190ab65038a8a7b6a79 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcf36d2894819089b7db8e91b63c9d completed May 7, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69fcf25c0a108190bfa823474098640b completed May 7, 2026, 8:13 p.m.
Created at: May 3, 2026, 4:02 p.m.