Triple

T9096784
Position Surface form Disambiguated ID Type / Status
Subject Halmstad E218044 entity
Predicate hasBeach P1922 FINISHED
Object Östra stranden
Östra stranden is a popular sandy beach and coastal recreation area in Halmstad on Sweden’s west coast.
E777904 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: Östra stranden | Statement: [Halmstad, hasBeach, Östra stranden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östra stranden
Context triple: [Halmstad, hasBeach, Östra stranden]
  • A. Söder Mälarstrand
    Söder Mälarstrand is a waterfront area along the southern shore of central Stockholm’s Lake Mälaren, known for its quays, historic buildings, and views toward the city center.
  • B. Tyresö Strand
    Tyresö Strand is a coastal residential area in the Stockholm County region of Sweden, known for its seaside location and proximity to both nature and the capital city.
  • C. Nordstrand
    Nordstrand is a popular sandy beach area on the North Sea island of Norderney in Germany, known for its coastal scenery and recreational opportunities.
  • D. Nordstrand
    Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
  • E. Südstrand
    Südstrand is a popular German seaside beach area known for its sandy shoreline, coastal promenades, and recreational tourism.
  • 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: Östra stranden
Triple: [Halmstad, hasBeach, Östra stranden]
Generated description
Östra stranden is a popular sandy beach and coastal recreation area in Halmstad on Sweden’s west coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Östra stranden
Target entity description: Östra stranden is a popular sandy beach and coastal recreation area in Halmstad on Sweden’s west coast.
  • A. Söder Mälarstrand
    Söder Mälarstrand is a waterfront area along the southern shore of central Stockholm’s Lake Mälaren, known for its quays, historic buildings, and views toward the city center.
  • B. Tyresö Strand
    Tyresö Strand is a coastal residential area in the Stockholm County region of Sweden, known for its seaside location and proximity to both nature and the capital city.
  • C. Nordstrand
    Nordstrand is a popular sandy beach area on the North Sea island of Norderney in Germany, known for its coastal scenery and recreational opportunities.
  • D. Nordstrand
    Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
  • E. Südstrand
    Südstrand is a popular German seaside beach area known for its sandy shoreline, coastal promenades, and recreational tourism.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:15 p.m.