Triple

T10373898
Position Surface form Disambiguated ID Type / Status
Subject Moss municipality E244452 entity
Predicate hasSettlement P1068 FINISHED
Object Halmstad
Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
E869616 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: Halmstad | Statement: [Moss municipality, hasSettlement, Halmstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halmstad
Context triple: [Moss municipality, hasSettlement, Halmstad]
  • A. Halmstad
    Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
  • B. Kristianstad
    Kristianstad is a historic city in southern Sweden known for its well-preserved Renaissance architecture and proximity to the wetlands of the Kristianstad Vattenrike Biosphere Reserve.
  • C. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • D. Ystad
    Ystad is a historic coastal town in southern Sweden known for its medieval architecture and as the setting of Henning Mankell’s Kurt Wallander crime novels.
  • E. Malmö
    Malmö is a major coastal city in southern Sweden known for its historic center, modern architecture like the Turning Torso, and its role as a cultural and economic hub connected to Copenhagen via the Öresund Bridge.
  • 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: Halmstad
Triple: [Moss municipality, hasSettlement, Halmstad]
Generated description
Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Halmstad
Target entity description: Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
  • A. Halmstad
    Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
  • B. Kristianstad
    Kristianstad is a historic city in southern Sweden known for its well-preserved Renaissance architecture and proximity to the wetlands of the Kristianstad Vattenrike Biosphere Reserve.
  • C. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • D. Ystad
    Ystad is a historic coastal town in southern Sweden known for its medieval architecture and as the setting of Henning Mankell’s Kurt Wallander crime novels.
  • E. Malmö
    Malmö is a major coastal city in southern Sweden known for its historic center, modern architecture like the Turning Torso, and its role as a cultural and economic hub connected to Copenhagen via the Öresund Bridge.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d76fd88819086c61c40216a8932 completed April 10, 2026, 2:47 p.m.
NEDg Description generation batch_69d91156a1b08190b5caeff755387692 completed April 10, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69d91214c75c8190af55173325a0f409 completed April 10, 2026, 3:07 p.m.
Created at: April 6, 2026, 12:02 p.m.