Triple

T9764313
Position Surface form Disambiguated ID Type / Status
Subject Sundsvall E236744 entity
Predicate hasNickname P39 FINISHED
Object Stenstaden
Stenstaden is the historic stone-built city center of Sundsvall, Sweden, known for its ornate late 19th-century architecture.
 E820318 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: Stenstaden | Statement: [Sundsvall, hasNickname, Stenstaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stenstaden
Context triple: [Sundsvall, hasNickname, Stenstaden]
  • A. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • B. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • C. Stålstaden
    Stålstaden is a Swedish city nickname referring to Eskilstuna’s historic role as a major steel and metalworking industrial center.
  • D. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • E. Stenstorp
    Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
  • 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: Stenstaden
Triple: [Sundsvall, hasNickname, Stenstaden]
Generated description
Stenstaden is the historic stone-built city center of Sundsvall, Sweden, known for its ornate late 19th-century architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stenstaden
Target entity description: Stenstaden is the historic stone-built city center of Sundsvall, Sweden, known for its ornate late 19th-century architecture.
  • A. Ballstad
    Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
  • B. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • C. Stålstaden
    Stålstaden is a Swedish city nickname referring to Eskilstuna’s historic role as a major steel and metalworking industrial center.
  • D. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • E. Stenstorp
    Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09ed54c8190a5879e14184cddf4 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf2cdd08190a051d406e199f45a completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bdfc07648190badacd2f6257601c completed April 5, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69d1beb700288190a94b730f2cc353d1 completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:25 p.m.