Triple

T20644461
Position Surface form Disambiguated ID Type / Status
Subject Esslingen district E507315 entity
Predicate contains P35 FINISHED
Object Grafenberg
Grafenberg is a small municipality in the German state of Baden-Württemberg, located within the Esslingen district near Stuttgart.
E1443594 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: Grafenberg | Statement: [Esslingen district, contains, Grafenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grafenberg
Context triple: [Esslingen district, contains, Grafenberg]
  • A. Gronau
    Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
  • B. Grotenberge
    Grotenberge is a village in East Flanders, Belgium, that forms part of the municipality of Zottegem.
  • C. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • D. Neudorf
    Neudorf is a village-level subdivision of the Tyrolean municipality of Umhausen in western Austria.
  • E. Faulbach
    Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, 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: Grafenberg
Triple: [Esslingen district, contains, Grafenberg]
Generated description
Grafenberg is a small municipality in the German state of Baden-Württemberg, located within the Esslingen district near Stuttgart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grafenberg
Target entity description: Grafenberg is a small municipality in the German state of Baden-Württemberg, located within the Esslingen district near Stuttgart.
  • A. Gronau
    Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
  • B. Grotenberge
    Grotenberge is a village in East Flanders, Belgium, that forms part of the municipality of Zottegem.
  • C. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • D. Neudorf
    Neudorf is a village-level subdivision of the Tyrolean municipality of Umhausen in western Austria.
  • E. Faulbach
    Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1d0be481909e090193dcfd9cf6 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd53c580819089127b06429f302b completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d174278481909db394da2a7ff969 completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d28e02fc8190ab694673156ab0c0 completed May 16, 2026, 8:24 p.m.
Created at: April 16, 2026, 11:43 a.m.