Triple

T27665904
Position Surface form Disambiguated ID Type / Status
Subject Krüger E697225 entity
Predicate orthographicTransliteration P33995 FINISHED
Object "Krueger" used where umlauts are unavailable 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: "Krueger" used where umlauts are unavailable | Statement: [Krüger, orthographicTransliteration, "Krueger" used where umlauts are unavailable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orthographicTransliteration
Context triple: [Krüger, orthographicTransliteration, "Krueger" used where umlauts are unavailable]
  • A. standardTransliteration
    Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
  • B. orthographicVariant chosen
    Indicates that two written forms are different spellings or orthographic representations of the same linguistic item.
  • C. orthographicIndependence
    Indicates that one writing system or orthographic form functions independently of, and is not derived from or constrained by, another.
  • D. formerTransliteration
    Indicates that one transliteration was previously used for an entity but has since been replaced by a different transliteration.
  • E. alternativeTransliteration
    Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
  • F. None of above.

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_69ef590b85a4819083ec7c12bd3c9c10 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f634a401e08190b2144d47f1df15e0 completed May 2, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69f62c1a92648190835a2c5250d8c758 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:38 p.m.