Triple

T17348660
Position Surface form Disambiguated ID Type / Status
Subject Capsella E421749 entity
Predicate nativeTo P410 FINISHED
Object Eurasia NE ONNED1

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: Eurasia | Statement: [Capsella, nativeTo, Eurasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurasia
Context triple: [Capsella, nativeTo, Eurasia]
  • A. Eurasia chosen
    Eurasia is the vast combined continental landmass of Europe and Asia, forming the largest continuous land area on Earth.
  • B. Euravia
    Euravia was the original name of the British charter airline that later became known as Britannia Airways.
  • C. Asia–Europe
    Asia–Europe is a major intercontinental shipping and trade route connecting key ports across the Asian and European continents.
  • D. Afro-Eurasia
    Afro-Eurasia is the vast continuous landmass comprising the continents of Africa, Europe, and Asia, forming the largest connected continental area on Earth.
  • E. Eastern Eurasia
    Eastern Eurasia is the broad eastern portion of the Eurasian landmass, encompassing regions such as East Asia, parts of Siberia, and adjacent steppe and coastal areas that have long been central to transcontinental trade and cultural exchange.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2af5f88190b4c292ca30993b36 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955658b88190bce3fb2b5738afc6 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.