Triple

T16027183
Position Surface form Disambiguated ID Type / Status
Subject Bremanger E388745 entity
Predicate hasSettlement P1068 FINISHED
Object Davik
Davik is a small village in Bremanger Municipality in Vestland county, on the western coast of Norway.
E1189203 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: Davik | Statement: [Bremanger, hasSettlement, Davik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davik
Context triple: [Bremanger, hasSettlement, Davik]
  • A. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • B. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • C. Dibon
    Dibon was an ancient Moabite city east of the Dead Sea, known from biblical texts and archaeological remains including the famous Mesha Stele.
  • D. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • E. Revdanda
    Revdanda is a coastal village in Maharashtra, India, known for its historic Portuguese-era fort, beaches, and coconut groves.
  • 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: Davik
Triple: [Bremanger, hasSettlement, Davik]
Generated description
Davik is a small village in Bremanger Municipality in Vestland county, on the western coast of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Davik
Target entity description: Davik is a small village in Bremanger Municipality in Vestland county, on the western coast of Norway.
  • A. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • B. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • C. Dibon
    Dibon was an ancient Moabite city east of the Dead Sea, known from biblical texts and archaeological remains including the famous Mesha Stele.
  • D. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • E. Revdanda
    Revdanda is a coastal village in Maharashtra, India, known for its historic Portuguese-era fort, beaches, and coconut groves.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf33c6a881909284933ea3b7dd6e completed May 10, 2026, 12:20 a.m.
NEDg Description generation batch_69ffd01d545c8190a96cd888223c7fa9 completed May 10, 2026, 12:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0b3d4b08190b1be30954d5d76c0 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:56 a.m.