Triple

T1807430
Position Surface form Disambiguated ID Type / Status
Subject News and Media Division E40252 entity
Predicate hasPart P35 FINISHED
Object UN News E6395 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: UN News | Statement: [News and Media Division, hasPart, UN News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UN News
Context triple: [News and Media Division, hasPart, UN News]
  • A. UN Department of Global Communications chosen
    The UN Department of Global Communications is the United Nations office responsible for promoting global awareness and understanding of the UN’s work through strategic communications, public information, and media outreach.
  • B. USUN
    USUN is the diplomatic mission that represents the United States at the United Nations headquarters in New York.
  • C. United Nations
    The United Nations is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • D. UNOG
    UNOG is the United Nations’ main European headquarters in Geneva, serving as a key center for international diplomacy and multilateral negotiations.
  • E. United Nations iLibrary
    The United Nations iLibrary is the UN’s digital platform providing centralized online access to its publications, data, and research across a wide range of global issues.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6598bd388190b5aa69b972cc8f0a completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e137bc81908294dd6b67789526 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.