Triple

T12576504
Position Surface form Disambiguated ID Type / Status
Subject Eupen E300219 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Kettenis
Kettenis is a village and municipal section of the city of Eupen in the German-speaking Community of eastern Belgium.
E990563 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: Kettenis | Statement: [Eupen, hasMunicipalSection, Kettenis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettenis
Context triple: [Eupen, hasMunicipalSection, Kettenis]
  • A. Kettenkamp
    Kettenkamp is a small municipality in Lower Saxony, Germany, situated in the rural Osnabrück region.
  • B. Knotz
    Knotz is a music producer known for working with the artist Gravitas.
  • C. Kuto-Kute
    Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
  • D. Kissamos
    Kissamos is a coastal town and municipality on the western part of the Greek island of Crete, known for its nearby beaches and archaeological sites.
  • E. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • 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: Kettenis
Triple: [Eupen, hasMunicipalSection, Kettenis]
Generated description
Kettenis is a village and municipal section of the city of Eupen in the German-speaking Community of eastern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kettenis
Target entity description: Kettenis is a village and municipal section of the city of Eupen in the German-speaking Community of eastern Belgium.
  • A. Kettenkamp
    Kettenkamp is a small municipality in Lower Saxony, Germany, situated in the rural Osnabrück region.
  • B. Knotz
    Knotz is a music producer known for working with the artist Gravitas.
  • C. Kuto-Kute
    Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
  • D. Kissamos
    Kissamos is a coastal town and municipality on the western part of the Greek island of Crete, known for its nearby beaches and archaeological sites.
  • E. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65597dc70819089ddc1794e9bd1b7 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656f812bc8190a2a691285fc30e03 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657ea0c6c8190992a0101904e92f2 completed May 2, 2026, 8 p.m.
Created at: April 9, 2026, 4:47 p.m.