Triple

T17860361
Position Surface form Disambiguated ID Type / Status
Subject Hesse-Darmstadt E446052 entity
Predicate importantRegion P12510 FINISHED
Object Starkenburg
Starkenburg was a historical province of the Grand Duchy of Hesse in southwestern Germany, encompassing areas around Darmstadt and the Odenwald.
 E1292674 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: Starkenburg | Statement: [Hesse-Darmstadt, importantRegion, Starkenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Starkenburg
Context triple: [Hesse-Darmstadt, importantRegion, Starkenburg]
  • A. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • B. Wimberg
    Wimberg is a district or neighborhood within the town of Calw in the state of Baden-Württemberg, Germany.
  • C. Graustark
    Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
  • D. Stollberg
    Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
  • E. Unstad
    Unstad is a small coastal village in Norway’s Lofoten archipelago, renowned for its dramatic Arctic scenery and world-class cold-water surfing.
  • 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: Starkenburg
Triple: [Hesse-Darmstadt, importantRegion, Starkenburg]
Generated description
Starkenburg was a historical province of the Grand Duchy of Hesse in southwestern Germany, encompassing areas around Darmstadt and the Odenwald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Starkenburg
Target entity description: Starkenburg was a historical province of the Grand Duchy of Hesse in southwestern Germany, encompassing areas around Darmstadt and the Odenwald.
  • A. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • B. Wimberg
    Wimberg is a district or neighborhood within the town of Calw in the state of Baden-Württemberg, Germany.
  • C. Graustark
    Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
  • D. Stollberg
    Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
  • E. Unstad
    Unstad is a small coastal village in Norway’s Lofoten archipelago, renowned for its dramatic Arctic scenery and world-class cold-water surfing.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978f34948190a25deb4fd617ad72 completed April 19, 2026, 8:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c663f88819088c3c7e40e905156 completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a030e9b5dcc81908ef4fd02bd8e6749 completed May 12, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_6a030ef815888190a1cdbea7f79d9be5 completed May 12, 2026, 11:28 a.m.
Created at: April 10, 2026, 10:17 a.m.