Triple

T12528797
Position Surface form Disambiguated ID Type / Status
Subject Unkel E299505 entity
Predicate hasSubdivision P747 FINISHED
Object Unkel (town centre)
Unkel (town centre) is the historic core and main commercial and cultural area of the small Rhine-side town of Unkel in Rhineland-Palatinate, Germany.
E986336 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: Unkel (town centre) | Statement: [Unkel, hasSubdivision, Unkel (town centre)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unkel (town centre)
Context triple: [Unkel, hasSubdivision, Unkel (town centre)]
  • A. Ustersbach
    Ustersbach is a small municipality in the Swabian region of Bavaria, Germany, known for its rural character and local brewery.
  • B. Usshertown
    Usshertown is a historic coastal neighborhood within Accra’s old Ga Mashie district, known for its Ga heritage and colonial-era architecture.
  • C. Oldemarkt
    Oldemarkt is a village in the Dutch province of Overijssel, known for its traditional character and location within the municipality of Steenwijkerland.
  • D. Bad Kleinen
    Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
  • E. Mickhausen
    Mickhausen is a small municipality in the Swabian region of Bavaria in southern 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: Unkel (town centre)
Triple: [Unkel, hasSubdivision, Unkel (town centre)]
Generated description
Unkel (town centre) is the historic core and main commercial and cultural area of the small Rhine-side town of Unkel in Rhineland-Palatinate, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unkel (town centre)
Target entity description: Unkel (town centre) is the historic core and main commercial and cultural area of the small Rhine-side town of Unkel in Rhineland-Palatinate, Germany.
  • A. Ustersbach
    Ustersbach is a small municipality in the Swabian region of Bavaria, Germany, known for its rural character and local brewery.
  • B. Usshertown
    Usshertown is a historic coastal neighborhood within Accra’s old Ga Mashie district, known for its Ga heritage and colonial-era architecture.
  • C. Oldemarkt
    Oldemarkt is a village in the Dutch province of Overijssel, known for its traditional character and location within the municipality of Steenwijkerland.
  • D. Bad Kleinen
    Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
  • E. Mickhausen
    Mickhausen is a small municipality in the Swabian region of Bavaria in southern 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc674e881908673e1f9103cc8be completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c7c5d04819094fcbee0a4b5cbb4 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f64d668e548190979b3da72fe21ae7 completed May 2, 2026, 7:15 p.m.
Created at: April 8, 2026, 9:57 p.m.