Triple

T13312436
Position Surface form Disambiguated ID Type / Status
Subject Witten E317101 entity
Predicate hasDistrict P459 FINISHED
Object Herbede
Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
 E1033253 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: Herbede | Statement: [Witten, hasDistrict, Herbede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herbede
Context triple: [Witten, hasDistrict, Herbede]
  • A. Herse
    Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • B. Las buenas hierbas
    Las buenas hierbas is a Mexican drama film that explores memory, family, and the emotional impact of Alzheimer’s disease through the intertwined lives of several women.
  • C. Vildgräs
    Vildgräs is a musical number from the Swedish stage musical "Kristina från Duvemåla," composed by Benny Andersson and Björn Ulvaeus and based on Vilhelm Moberg’s emigrant novels.
  • D. Herbiester
    Herbiester is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • E. The Plant
    The Plant is the nickname for Doncaster Works, a major historic railway engineering and locomotive-building facility in Doncaster, England.
  • 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: Herbede
Triple: [Witten, hasDistrict, Herbede]
Generated description
Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herbede
Target entity description: Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
  • A. Herse
    Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • B. Las buenas hierbas
    Las buenas hierbas is a Mexican drama film that explores memory, family, and the emotional impact of Alzheimer’s disease through the intertwined lives of several women.
  • C. Vildgräs
    Vildgräs is a musical number from the Swedish stage musical "Kristina från Duvemåla," composed by Benny Andersson and Björn Ulvaeus and based on Vilhelm Moberg’s emigrant novels.
  • D. Herbiester
    Herbiester is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • E. The Plant
    The Plant is the nickname for Doncaster Works, a major historic railway engineering and locomotive-building facility in Doncaster, England.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b868608190971c38f26b61cf28 completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:29 p.m.