Triple

T1989530
Position Surface form Disambiguated ID Type / Status
Subject Löwenstein E43219 entity
Predicate hasSpellingWithDiacritics P2270 FINISHED
Object Löwenstein E43219 NE FINISHED

How this triple was built (3 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: Löwenstein | Statement: [Löwenstein, hasSpellingWithDiacritics, Löwenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Löwenstein
Context triple: [Löwenstein, hasSpellingWithDiacritics, Löwenstein]
  • A. Löwenstein chosen
    Löwenstein is the original family name of the renowned Hungarian-American actor Peter Lorre, known for his distinctive roles in classic Hollywood and European cinema.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • E. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpellingWithDiacritics
Context triple: [Löwenstein, hasSpellingWithDiacritics, Löwenstein]
  • A. usesDiacritics chosen
    Indicates that the referenced text or linguistic element employs diacritical marks as part of its written form.
  • B. diacriticType
    Indicates the specific kind or category of diacritic mark associated with a character or symbol.
  • C. hasCyrillicAlphabetForm
    Indicates that an entity has a corresponding representation or form written in the Cyrillic alphabet.
  • D. hasAccent
    Indicates that an entity speaks with or possesses a particular accent or distinctive pronunciation style.
  • E. hasVariantSpelling
    Indicates that one term is an alternative spelling form of another term.
  • F. None of above.

Provenance (4 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8ee02dc81908fec9fd8df7a4f40 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0336177c8190bb9d3d921fff13e8 completed March 8, 2026, 11:16 p.m.
PD Predicate disambiguation batch_69abb79ad6888190be99943a9c73cf3e completed March 7, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:37 p.m.