Triple

T3682537
Position Surface form Disambiguated ID Type / Status
Subject Stockholm tramways E78142 entity
Predicate connects P390 FINISHED
Object Nockeby
Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
 E379960 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: Nockeby | Statement: [Stockholm tramways, connects, Nockeby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nockeby
Context triple: [Stockholm tramways, connects, Nockeby]
  • A. Kessingland
    Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
  • B. Eiderstedt
    Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
  • C. Saltholm
    Saltholm is a low-lying, sparsely inhabited Danish island in the Øresund Strait, known for its extensive wetlands and rich birdlife.
  • D. Ahlbeck
    Ahlbeck is a seaside resort town on the Baltic island of Usedom in Germany, known for its historic pier and well-preserved resort architecture.
  • E. Sundbyvester
    Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
  • 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: Nockeby
Triple: [Stockholm tramways, connects, Nockeby]
Generated description
Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nockeby
Target entity description: Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
  • A. Kessingland
    Kessingland is a coastal village and civil parish in Suffolk, England, known for its long shingle beach and seaside tourism.
  • B. Eiderstedt
    Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
  • C. Saltholm
    Saltholm is a low-lying, sparsely inhabited Danish island in the Øresund Strait, known for its extensive wetlands and rich birdlife.
  • D. Ahlbeck
    Ahlbeck is a seaside resort town on the Baltic island of Usedom in Germany, known for its historic pier and well-preserved resort architecture.
  • E. Sundbyvester
    Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4948cc48190ab1f59cc4a2437cc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b306c081909b3857daa4f97ce2 completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c56b76ac81909ae8d2ef10b8ed28 completed March 14, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69b4c62f7b7c81909150d8e40bb2dda4 completed March 14, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:25 p.m.