Triple

T16123679
Position Surface form Disambiguated ID Type / Status
Subject Arnhem–Nijmegen metropolitan area E391208 entity
Predicate containsMunicipality P852 FINISHED
Object Westervoort
Westervoort is a small Dutch municipality in the province of Gelderland, situated near the city of Arnhem along the Rhine.
E1195974 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: Westervoort | Statement: [Arnhem–Nijmegen metropolitan area, containsMunicipality, Westervoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westervoort
Context triple: [Arnhem–Nijmegen metropolitan area, containsMunicipality, Westervoort]
  • A. Heverlee
    Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
  • B. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • C. Rombouts
    Rombouts is a Flemish surname most notably associated with Baroque painter Theodoor Rombouts.
  • D. Buren
    Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
  • E. Buren
    Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
  • 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: Westervoort
Triple: [Arnhem–Nijmegen metropolitan area, containsMunicipality, Westervoort]
Generated description
Westervoort is a small Dutch municipality in the province of Gelderland, situated near the city of Arnhem along the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Westervoort
Target entity description: Westervoort is a small Dutch municipality in the province of Gelderland, situated near the city of Arnhem along the Rhine.
  • A. Heverlee
    Heverlee is a suburb of Leuven in the Flemish Brabant province of Belgium, known for its residential areas, green spaces, and nearby university facilities.
  • B. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • C. Rombouts
    Rombouts is a Flemish surname most notably associated with Baroque painter Theodoor Rombouts.
  • D. Buren
    Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
  • E. Buren
    Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020342988190add65c784b8ee179 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a9db848190bafb959bd7511246 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b375d48190a958b34c5df5c5f1 completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff447e1248190a3a1386946172429 completed May 10, 2026, 2:58 a.m.
Created at: April 10, 2026, 5 a.m.