Triple

T3072543
Position Surface form Disambiguated ID Type / Status
Subject Aust-Agder E64056 entity
Predicate containedMunicipality P14658 FINISHED
Object Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
E327217 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: Iveland | Statement: [Aust-Agder, containedMunicipality, Iveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iveland
Context triple: [Aust-Agder, containedMunicipality, Iveland]
  • A. Froland
    Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
  • B. Ulsta
    Ulsta is a small settlement on the island of Yell in Shetland, Scotland, known primarily for its ferry terminal linking Yell to the Shetland mainland.
  • C. Nyland
    Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
  • D. Vestby
    Vestby is a municipality in Viken county in southeastern Norway, known for its coastal location along the Oslofjord and proximity to Oslo.
  • E. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • 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: Iveland
Triple: [Aust-Agder, containedMunicipality, Iveland]
Generated description
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Iveland
Target entity description: Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
  • A. Froland
    Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
  • B. Ulsta
    Ulsta is a small settlement on the island of Yell in Shetland, Scotland, known primarily for its ferry terminal linking Yell to the Shetland mainland.
  • C. Nyland
    Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
  • D. Vestby
    Vestby is a municipality in Viken county in southeastern Norway, known for its coastal location along the Oslofjord and proximity to Oslo.
  • E. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada14c8bd881909cf1bb2649ba36db completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20357f8c48190b6874f7596f30052 completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b20571792081909fd8eca15a2227fa completed March 12, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69b205d86ab0819084a352c0b634a026 completed March 12, 2026, 12:16 a.m.
Created at: March 8, 2026, 3:02 p.m.