Triple

T528614
Position Surface form Disambiguated ID Type / Status
Subject HuffPost E10978 entity
Predicate hasComponent P35 FINISHED
Object HuffPost World E10978 NE 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: HuffPost World | Statement: [HuffPost, hasComponent, HuffPost World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HuffPost World
Context triple: [HuffPost, hasComponent, HuffPost World]
  • A. HuffPost chosen
    HuffPost is a digital news and opinion website known for its extensive blogging platform, progressive political coverage, and aggregation of news from various sources.
  • B. Wikinews
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • C. Forbes Border Post
    Forbes Border Post is a key road border crossing between Zimbabwe and Mozambique located near the city of Mutare in eastern Zimbabwe.
  • D. The Christian Science Monitor
    The Christian Science Monitor is an international news organization and magazine known for its in-depth, non-sensationalist journalism and thoughtful analysis of global affairs.
  • E. Vox
    Vox is a Spanish right-wing to far-right political party known for its nationalist, socially conservative, and anti-separatist positions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d39b4c81909f265b3501b5ec1d completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d932c48190bba3d7a1f4eaff60 completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.