Triple

T6735838
Position Surface form Disambiguated ID Type / Status
Subject Hamm E153750 entity
Predicate hasDistricts P1679 FINISHED
Object Mitte
Mitte is a central district commonly found in various German cities, typically encompassing key administrative, commercial, and cultural areas.
 E28609 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: Mitte | Statement: [Hamm, hasDistricts, Mitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mitte
Context triple: [Hamm, hasDistricts, Mitte]
  • A. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • B. Mide
    Mide is an alternative name for the Midewiwin, the traditional spiritual and medicinal society of certain Anishinaabe (Ojibwe and related) Indigenous peoples of North America.
  • C. Middleside
    Middleside is a district or area within Fort Mills, historically associated with the British military presence on Hong Kong’s Stonecutters Island.
  • D. Middelaar
    Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
  • E. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • 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: Mitte
Triple: [Hamm, hasDistricts, Mitte]
Generated description
Mitte is a central district commonly found in various German cities, typically encompassing key administrative, commercial, and cultural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mitte
Target entity description: Mitte is a central district commonly found in various German cities, typically encompassing key administrative, commercial, and cultural areas.
  • A. Mitte chosen
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • B. Mide
    Mide is an alternative name for the Midewiwin, the traditional spiritual and medicinal society of certain Anishinaabe (Ojibwe and related) Indigenous peoples of North America.
  • C. Middleside
    Middleside is a district or area within Fort Mills, historically associated with the British military presence on Hong Kong’s Stonecutters Island.
  • D. Middelaar
    Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
  • E. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • F. None of above.

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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b09b97c8190a5a538571b6909f0 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bda97f08190bc6dab7177341876 completed March 27, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69c70c51e0148190be64afb56690b34f completed March 27, 2026, 11:01 p.m.
Created at: March 27, 2026, 2:09 p.m.