Triple

T15212042
Position Surface form Disambiguated ID Type / Status
Subject Carl Anton Larsen E363538 entity
Predicate placeOfBirth P1 FINISHED
Object Østre Halsen
Østre Halsen is a coastal village in Larvik Municipality in Vestfold og Telemark county, Norway.
 E1143585 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: Østre Halsen | Statement: [Carl Anton Larsen, placeOfBirth, Østre Halsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Østre Halsen
Context triple: [Carl Anton Larsen, placeOfBirth, Østre Halsen]
  • A. Lillebælt
    Lillebælt is the narrow strait in Denmark that separates the Jutland Peninsula from the island of Funen and connects the Baltic Sea to the Kattegat.
  • B. Haugalandet
    Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
  • C. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • D. Halingen
    Halingen is a suburban district of the town of Menden in North Rhine-Westphalia, Germany.
  • E. Halsskov
    Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
  • 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: Østre Halsen
Triple: [Carl Anton Larsen, placeOfBirth, Østre Halsen]
Generated description
Østre Halsen is a coastal village in Larvik Municipality in Vestfold og Telemark county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Østre Halsen
Target entity description: Østre Halsen is a coastal village in Larvik Municipality in Vestfold og Telemark county, Norway.
  • A. Lillebælt
    Lillebælt is the narrow strait in Denmark that separates the Jutland Peninsula from the island of Funen and connects the Baltic Sea to the Kattegat.
  • B. Haugalandet
    Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
  • C. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • D. Halingen
    Halingen is a suburban district of the town of Menden in North Rhine-Westphalia, Germany.
  • E. Halsskov
    Halsskov is a district and ferry port in the Danish town of Korsør on the island of Zealand, known as the western landfall of the Great Belt Bridge.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076c9e2481909d7a464b2172f4bf completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed341cfb8819086b386c6cb905eda completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed45bfb0c8190a0a02c51b027bd64 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed4c6aaf88190af2f1d3a1280b825 completed May 9, 2026, 6:31 a.m.
Created at: April 10, 2026, 3:11 a.m.