Triple

T4283882
Position Surface form Disambiguated ID Type / Status
Subject Molenlanden E97218 entity
Predicate hasSettlement P1068 FINISHED
Object Giessenburg
Giessenburg is a village in the Dutch province of South Holland, known for its rural character and location along the river Giessen.
E428009 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: Giessenburg | Statement: [Molenlanden, hasSettlement, Giessenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giessenburg
Context triple: [Molenlanden, hasSettlement, Giessenburg]
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • C. Ringgenberg
    Ringgenberg is a picturesque Swiss village in the canton of Bern, known for its historic church and scenic location in the Bernese Oberland near Interlaken.
  • D. Giengen an der Brenz
    Giengen an der Brenz is a small town in the state of Baden-Württemberg in southern Germany, known as the birthplace of the Steiff teddy bear.
  • E. Braubach
    Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
  • 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: Giessenburg
Triple: [Molenlanden, hasSettlement, Giessenburg]
Generated description
Giessenburg is a village in the Dutch province of South Holland, known for its rural character and location along the river Giessen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giessenburg
Target entity description: Giessenburg is a village in the Dutch province of South Holland, known for its rural character and location along the river Giessen.
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • C. Ringgenberg
    Ringgenberg is a picturesque Swiss village in the canton of Bern, known for its historic church and scenic location in the Bernese Oberland near Interlaken.
  • D. Giengen an der Brenz
    Giengen an der Brenz is a small town in the state of Baden-Württemberg in southern Germany, known as the birthplace of the Steiff teddy bear.
  • E. Braubach
    Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503c062c81908f9a9eeab5381ec9 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72804ac81908f8d2c111276b6b7 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7ab41fc81909813233bd729e989 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c81d6e188190a1f0f21a990943d0 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:07 p.m.