Triple

T12877841
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Lucka
Lucka is a small town in eastern Germany that forms part of the broader Leipzig metropolitan area.
 E1006475 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: Lucka | Statement: [Leipzig metropolitan region, containsCity, Lucka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucka
Context triple: [Leipzig metropolitan region, containsCity, Lucka]
  • A. Louka
    Louka is a sharp-witted, ambitious maid in George Bernard Shaw’s play "Arms and the Man," whose defiance of social class expectations drives much of the drama and satire.
  • B. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • C. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • D. Luda
    Luda is a nickname for Christopher Brian Bridges, better known as the American rapper and actor Ludacris.
  • E. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • 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: Lucka
Triple: [Leipzig metropolitan region, containsCity, Lucka]
Generated description
Lucka is a small town in eastern Germany that forms part of the broader Leipzig metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucka
Target entity description: Lucka is a small town in eastern Germany that forms part of the broader Leipzig metropolitan area.
  • A. Louka
    Louka is a sharp-witted, ambitious maid in George Bernard Shaw’s play "Arms and the Man," whose defiance of social class expectations drives much of the drama and satire.
  • B. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • C. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • D. Luda
    Luda is a nickname for Christopher Brian Bridges, better known as the American rapper and actor Ludacris.
  • E. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • 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.