Triple

T9948018
Position Surface form Disambiguated ID Type / Status
Subject Channel 5 News E195253 entity
Predicate hasRecurringSegment P58011 FINISHED
Object weather report with Ollie Williams 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: weather report with Ollie Williams | Statement: [Channel 5 News, hasRecurringSegment, weather report with Ollie Williams]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecurringSegment
Context triple: [Channel 5 News, hasRecurringSegment, weather report with Ollie Williams]
  • A. hasRecurringElement
    Indicates that an entity includes an element that appears repeatedly or occurs multiple times within it.
  • B. recurringSegmentOn chosen
    Indicates that one entity appears repeatedly as a regular segment or feature within another entity, such as a show, publication, or series.
  • C. hasRepetition
    Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
  • D. hasRecurringRole
    Indicates that an entity repeatedly appears or participates in a role within an ongoing or multiple related contexts over time.
  • E. recurringDuring
    Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
PD Predicate disambiguation batch_69cd1d97c44081908730071269f07712 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:45 p.m.