Triple

T19325701
Position Surface form Disambiguated ID Type / Status
Subject Heilbronn (district) E483340 entity
Predicate contains P35 FINISHED
Object Zaberfeld
Zaberfeld is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the Kraichgau region.
E1370423 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: Zaberfeld | Statement: [Heilbronn (district), contains, Zaberfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaberfeld
Context triple: [Heilbronn (district), contains, Zaberfeld]
  • A. Dzerzhinovo
    Dzerzhinovo is a village in present-day Belarus best known as the birthplace of Soviet statesman and secret police founder Felix Dzerzhinsky.
  • B. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • C. Valdorf
    Valdorf is a district or locality within the town of Vlotho in the German state of North Rhine-Westphalia.
  • D. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • E. Khrabrovo
    Khrabrovo is a locality in Russia’s Kaliningrad region best known for hosting Khrabrovo Airport, the main air gateway to Kaliningrad.
  • 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: Zaberfeld
Triple: [Heilbronn (district), contains, Zaberfeld]
Generated description
Zaberfeld is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the Kraichgau region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zaberfeld
Target entity description: Zaberfeld is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the Kraichgau region.
  • A. Dzerzhinovo
    Dzerzhinovo is a village in present-day Belarus best known as the birthplace of Soviet statesman and secret police founder Felix Dzerzhinsky.
  • B. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • C. Valdorf
    Valdorf is a district or locality within the town of Vlotho in the German state of North Rhine-Westphalia.
  • D. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • E. Khrabrovo
    Khrabrovo is a locality in Russia’s Kaliningrad region best known for hosting Khrabrovo Airport, the main air gateway to Kaliningrad.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bdc5a2881908b7e71c397be2c2f completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de4a7688190a7114a7eec39fd8f completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:33 p.m.