Triple

T6624518
Position Surface form Disambiguated ID Type / Status
Subject Schweinfurt region E149760 entity
Predicate containsTown P847 FINISHED
Object Escherndorf
Escherndorf is a small wine-growing village in northern Bavaria, Germany, renowned for its Franconian vineyards along the Main River.
E616663 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: Escherndorf | Statement: [Schweinfurt region, containsTown, Escherndorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escherndorf
Context triple: [Schweinfurt region, containsTown, Escherndorf]
  • A. Eugendorf
    Eugendorf is a market town in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and its location in the scenic Salzkammergut region.
  • B. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • C. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • D. Berndorf
    Berndorf is a small locality in Germany known historically as the birthplace of the pioneering refrigeration engineer Carl von Linde.
  • E. Ansfelden
    Ansfelden is a town in Upper Austria best known as the birthplace of the composer Anton Bruckner.
  • 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: Escherndorf
Triple: [Schweinfurt region, containsTown, Escherndorf]
Generated description
Escherndorf is a small wine-growing village in northern Bavaria, Germany, renowned for its Franconian vineyards along the Main River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Escherndorf
Target entity description: Escherndorf is a small wine-growing village in northern Bavaria, Germany, renowned for its Franconian vineyards along the Main River.
  • A. Eugendorf
    Eugendorf is a market town in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and its location in the scenic Salzkammergut region.
  • B. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • C. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • D. Berndorf
    Berndorf is a small locality in Germany known historically as the birthplace of the pioneering refrigeration engineer Carl von Linde.
  • E. Ansfelden
    Ansfelden is a town in Upper Austria best known as the birthplace of the composer Anton Bruckner.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70ae8248081909a0f6628583f4626 completed March 27, 2026, 10:55 p.m.
NEDg Description generation batch_69c70b83f24c819091a6a2a7802c830f completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70f676e408190bc85a2760446d5d1 completed March 27, 2026, 11:14 p.m.
Created at: March 27, 2026, 1:58 p.m.