Triple

T13228651
Position Surface form Disambiguated ID Type / Status
Subject Margarete Boden E314949 entity
Predicate familyName P18 FINISHED
Object Boden E205314 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: Boden | Statement: [Margarete Boden, familyName, Boden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boden
Context triple: [Margarete Boden, familyName, Boden]
  • A. Boden chosen
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • B. Zemin
    Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • C. Bhumij
    Bhumij are an indigenous Adivasi community of eastern India, primarily found in Jharkhand, Odisha, and West Bengal, known for their distinct language, culture, and traditional agrarian lifestyle.
  • D. Bodenschneid
    Bodenschneid is a prominent mountain peak in the Bavarian Alps of southern Germany, popular for hiking and offering panoramic views over nearby lakes and valleys.
  • E. Terra Barzae
    Terra Barzae is the Latin name for Țara Bârsei, a historic region in southeastern Transylvania, Romania, known for its medieval Saxon heritage and fortified towns.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:21 p.m.