Triple

T15634560
Position Surface form Disambiguated ID Type / Status
Subject Hennef (Sieg) E375903 entity
Predicate hasLocalGovernment P2820 FINISHED
Object Stadt Hennef (Sieg) E375903 NE FINISHED

How this triple was built (2 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: Stadt Hennef (Sieg) | Statement: [Hennef (Sieg), hasLocalGovernment, Stadt Hennef (Sieg)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt Hennef (Sieg)
Context triple: [Hennef (Sieg), hasLocalGovernment, Stadt Hennef (Sieg)]
  • A. Hennef (Sieg) chosen
    Hennef (Sieg) is a town in North Rhine-Westphalia, Germany, located near Bonn and known for its scenic setting along the river Sieg.
  • B. Hennef
    Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
  • C. Stadt Bad Honnef
    Stadt Bad Honnef is a town on the Rhine in North Rhine-Westphalia, Germany, known for its scenic setting near the Siebengebirge hills and its role as a residential and conference location.
  • D. Bergisch Neukirchen
    Bergisch Neukirchen is a district of the German city of Leverkusen, located in North Rhine-Westphalia.
  • E. Burscheid
    Burscheid is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Bergisches Land region and its mix of rural character and local industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.