Triple

T19421155
Position Surface form Disambiguated ID Type / Status
Subject Waadhoeke E485855 entity
Predicate contains P35 FINISHED
Object Schalsum
Schalsum is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
E1375842 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: Schalsum | Statement: [Waadhoeke, contains, Schalsum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schalsum
Context triple: [Waadhoeke, contains, Schalsum]
  • A. Schiltach
    Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
  • B. Kumhausen
    Kumhausen is a municipality in southeastern Bavaria, Germany, situated near the city of Landshut in the Landshut district.
  • C. Sumiswald
    Sumiswald is a Swiss municipality in the Emmental region of the canton of Bern, known for its rural character and traditional wooden architecture.
  • D. Burgwald
    Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
  • E. Burgwald
    Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
  • 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: Schalsum
Triple: [Waadhoeke, contains, Schalsum]
Generated description
Schalsum is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schalsum
Target entity description: Schalsum is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
  • A. Schiltach
    Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
  • B. Kumhausen
    Kumhausen is a municipality in southeastern Bavaria, Germany, situated near the city of Landshut in the Landshut district.
  • C. Sumiswald
    Sumiswald is a Swiss municipality in the Emmental region of the canton of Bern, known for its rural character and traditional wooden architecture.
  • D. Burgwald
    Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
  • E. Burgwald
    Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63214d768819082129100d7116521 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.