Triple

T14772910
Position Surface form Disambiguated ID Type / Status
Subject von Lossow E347180 entity
Predicate hasFamilyName P18 FINISHED
Object von Lossow E347180 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: von Lossow | Statement: [von Lossow, hasFamilyName, von Lossow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Lossow
Context triple: [von Lossow, hasFamilyName, von Lossow]
  • A. von Lossow chosen
    Von Lossow is a German noble family name historically associated with military officers and aristocratic lineages in Germany.
  • B. von Lossberg
    Von Lossberg is a German noble family name historically associated with military officers and civil servants in Hesse and other German states.
  • C. von Lichnowsky
    von Lichnowsky is the surname of a prominent Silesian noble family of princes known for their influence in Prussian and Austrian political and cultural life.
  • D. William Lossow
    William Lossow was a German architect of the late 19th and early 20th centuries, noted for designing major public buildings including prominent railway stations.
  • E. von Holzhausen
    von Holzhausen is a German-origin surname historically associated with several notable figures, including contemporary automotive designer Franz von Holzhausen.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfd26fc81909fba39c8705437ed completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.