Triple

T3556532
Position Surface form Disambiguated ID Type / Status
Subject Nordfjord E75232 entity
Predicate hasPart P35 FINISHED
Object Stad
Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
 E366558 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: Stad | Statement: [Nordfjord, hasPart, Stad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stad
Context triple: [Nordfjord, hasPart, Stad]
  • A. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • B. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • C. Lichtstad
    Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
  • D. Stedum
    Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
  • E. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial 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: Stad
Triple: [Nordfjord, hasPart, Stad]
Generated description
Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stad
Target entity description: Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
  • A. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • B. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • C. Lichtstad
    Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
  • D. Stedum
    Stedum is a small village in the province of Groningen in the Netherlands, known for its historic Romanesque church and rural setting.
  • E. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bf40dac8190837053dd315303af completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6e70a88190805de417a8740d64 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cd2c540819083d3188c2dea7283 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.