Triple

T1044402
Position Surface form Disambiguated ID Type / Status
Subject Arendal E22542 entity
Predicate hasDemonym P191 FINISHED
Object arendalitt
An arendalitt is a resident or native of the coastal town of Arendal in southern Norway.
 E120630 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: arendalitt | Statement: [Arendal, hasDemonym, arendalitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: arendalitt
Context triple: [Arendal, hasDemonym, arendalitt]
  • A. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • B. Audenarde
    Audenarde (Oudenaarde) is a historic city in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Övdalian
    Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
  • D. Lutjegast
    Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
  • E. Berg en Dal
    Berg en Dal is a Dutch municipality in the province of Gelderland, known for its hilly landscape, forests, and proximity to the city of Nijmegen.
  • 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: arendalitt
Triple: [Arendal, hasDemonym, arendalitt]
Generated description
An arendalitt is a resident or native of the coastal town of Arendal in southern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: arendalitt
Target entity description: An arendalitt is a resident or native of the coastal town of Arendal in southern Norway.
  • A. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • B. Audenarde
    Audenarde (Oudenaarde) is a historic city in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Övdalian
    Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
  • D. Lutjegast
    Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
  • E. Berg en Dal
    Berg en Dal is a Dutch municipality in the province of Gelderland, known for its hilly landscape, forests, and proximity to the city of Nijmegen.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84937688190a5899af2104002df completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc97dec81909b6ad48e3f203923 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c42c2c081909ccadbf944d3aa6c completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbd43848190854add440753fdad completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:42 p.m.