Triple

T9495177
Position Surface form Disambiguated ID Type / Status
Subject Schwansen E228985 entity
Predicate hasSettlement P1068 FINISHED
Object Waabs
Waabs is a small coastal municipality in northern Germany’s Schleswig-Holstein region, known for its Baltic Sea beaches and rural landscape.
E802822 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: Waabs | Statement: [Schwansen, hasSettlement, Waabs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waabs
Context triple: [Schwansen, hasSettlement, Waabs]
  • A. Waibakul
    Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
  • B. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • C. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • D. Wakool
    Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
  • E. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • 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: Waabs
Triple: [Schwansen, hasSettlement, Waabs]
Generated description
Waabs is a small coastal municipality in northern Germany’s Schleswig-Holstein region, known for its Baltic Sea beaches and rural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waabs
Target entity description: Waabs is a small coastal municipality in northern Germany’s Schleswig-Holstein region, known for its Baltic Sea beaches and rural landscape.
  • A. Waibakul
    Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
  • B. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • C. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • D. Wakool
    Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
  • E. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d34967881909980be6f1be80885 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d13113474881909201282ce1385073 completed April 4, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69d131ade0588190bdf3cfdbbdd6df8e completed April 4, 2026, 3:43 p.m.
Created at: March 30, 2026, 7:56 p.m.