Triple

T23484844
Position Surface form Disambiguated ID Type / Status
Subject Chicago City News Bureau E570506 entity
Predicate distributedContent P39433 FINISHED
Object news stories 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: news stories | Statement: [Chicago City News Bureau, distributedContent, news stories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distributedContent
Context triple: [Chicago City News Bureau, distributedContent, news stories]
  • A. distributesContentTo chosen
    Indicates that one entity delivers or makes content available to another entity or set of entities.
  • B. distributionIncludes
    Indicates that a distribution or release of something contains or encompasses the specified item or component.
  • C. distributedFilm
    Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
  • D. distributedAs
    Indicates that something is allocated, delivered, or spread out according to a particular pattern, rule, or distribution scheme.
  • E. distributionVia
    Indicates that something is delivered, supplied, or made available through a particular channel, medium, or intermediary.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a752c678819087e5c50b8cf87d3d completed April 29, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69f0620ac3608190b36916261ea50f54 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:03 p.m.