Triple

T4494074
Position Surface form Disambiguated ID Type / Status
Subject Jensen E100649 entity
Predicate hasLanguageOrigin P1754 FINISHED
Object Danish
Danish is a North Germanic language primarily spoken in Denmark and used as the official language of the country.
E447062 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: Danish | Statement: [Jensen, hasLanguageOrigin, Danish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish
Context triple: [Jensen, hasLanguageOrigin, Danish]
  • A. Vanløse
    Vanløse is a residential district in the western part of Copenhagen, Denmark, known for its local shopping streets, green areas, and strong public transport connections.
  • B. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • C. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • D. Et dukkehjem
    Et dukkehjem is the original Norwegian title of Henrik Ibsen’s groundbreaking 1879 realist play that critiques 19th-century marriage and gender roles.
  • E. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • 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: Danish
Triple: [Jensen, hasLanguageOrigin, Danish]
Generated description
Danish is a North Germanic language primarily spoken in Denmark and used as the official language of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danish
Target entity description: Danish is a North Germanic language primarily spoken in Denmark and used as the official language of the country.
  • A. Vanløse
    Vanløse is a residential district in the western part of Copenhagen, Denmark, known for its local shopping streets, green areas, and strong public transport connections.
  • B. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • C. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • D. Et dukkehjem
    Et dukkehjem is the original Norwegian title of Henrik Ibsen’s groundbreaking 1879 realist play that critiques 19th-century marriage and gender roles.
  • E. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5572c60881909101b4e65dd5de06 completed March 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67ba4d4881909fe32902507bcbe3 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd68d76cfc819083071015add540dc completed March 20, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69bd698f0f148190ae3ad5193cba0851 completed March 20, 2026, 3:36 p.m.
Created at: March 20, 2026, 1 p.m.