Triple

T12877866
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Brandis
Brandis is a small town in the German state of Saxony, located just east of Leipzig within its metropolitan area.
 E1006478 NE FINISHED

How this triple was built (4 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: Brandis | Statement: [Leipzig metropolitan region, containsCity, Brandis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brandis
Context triple: [Leipzig metropolitan region, containsCity, Brandis]
  • A. Branden
    Branden is a given name, typically a masculine first name, used as a variant spelling of Brandon.
  • B. Bradley
    Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
  • C. Bradley
    Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
  • D. Bradley
    Bradley is the commonly used short name for Bradley University, a private university located in Peoria, Illinois.
  • E. Bradley
    Bradley is the given first name of American actor BD Wong, known for his roles in film, television, and theater.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brandis
Triple: [Leipzig metropolitan region, containsCity, Brandis]
Generated description
Brandis is a small town in the German state of Saxony, located just east of Leipzig within its metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brandis
Target entity description: Brandis is a small town in the German state of Saxony, located just east of Leipzig within its metropolitan area.
  • A. Branden
    Branden is a given name, typically a masculine first name, used as a variant spelling of Brandon.
  • B. Bradley
    Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
  • C. Bradley
    Bradley is the given first name of American actor BD Wong, known for his roles in film, television, and theater.
  • D. Bradley
    Bradley is a masculine given name of Old English origin, traditionally meaning "broad meadow."
  • E. Bradley
    Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
  • F. None of above. chosen

Provenance (5 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69cc6fa84819093a4317ab355f62b completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:38 p.m.