Triple

T36869833
Position Surface form Disambiguated ID Type / Status
Subject Sepsiszentgyörgy E911195 entity
Predicate germanNameForm P22792 FINISHED
Object Sankt Georgen 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: Sankt Georgen | Statement: [Sepsiszentgyörgy, germanNameForm, Sankt Georgen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: germanNameForm
Context triple: [Sepsiszentgyörgy, germanNameForm, Sankt Georgen]
  • A. nameInGerman chosen
    Indicates that an entity is known or referred to by a specific name in the German language.
  • B. genderInGerman
    Indicates that a given entity has a specified grammatical gender in the German language.
  • C. equivalentSurnameInGerman
    Indicates that two surnames are equivalent to each other when translated into or represented in the German language.
  • D. EuropeanNameVariant
    Indicates that one name is a variant or alternative form of another name as used in a European language or cultural context.
  • E. isGivenNameFormOf
    Indicates that one name is a given-name variant or form derived from another name.
  • 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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:13 p.m.