Triple

T20200629
Position Surface form Disambiguated ID Type / Status
Subject Greater Armenia E493206 entity
Predicate borderedBy P224 FINISHED
Object Media NE NERFINISHED

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: Media | Statement: [Greater Armenia, borderedBy, Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media
Context triple: [Greater Armenia, borderedBy, Media]
  • A. Media chosen
    Media was an ancient Iranian kingdom in northwestern Iran, historically ruled by the Medes and known for its role as a major Near Eastern power before being absorbed by the Achaemenid Persian Empire.
  • B. Media
    Media is an interdisciplinary field focused on the creation, analysis, and distribution of content across channels such as print, broadcast, digital platforms, and interactive technologies.
  • C. Media
    Media is a small borough in Delaware County, Pennsylvania, that serves as the county seat and is known for its historic downtown and community-oriented character.
  • D. Media Ventures
    Media Ventures is a film and television music production company and composers’ collective founded by Hans Zimmer, known for creating scores for major Hollywood productions.
  • E. MediaCom
    MediaCom is a global media planning and buying agency known for managing advertising and communications strategies for major brands worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.