Triple

T15332060
Position Surface form Disambiguated ID Type / Status
Subject Stad E366558 entity
Predicate contains P35 FINISHED
Object Hoddevik
Hoddevik is a small coastal village in western Norway known for its scenic bay, sandy beach, and popularity as a surfing destination.
E1157935 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: Hoddevik | Statement: [Stad, contains, Hoddevik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoddevik
Context triple: [Stad, contains, Hoddevik]
  • A. Leirvik
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • B. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • C. Haukland
    Haukland is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic beach and dramatic surrounding mountains.
  • D. Peberholm
    Peberholm is an artificial island in the Øresund Strait, created as part of the Øresund Bridge–Tunnel link between Denmark and Sweden and known for its role as both transport infrastructure and a protected nature reserve.
  • E. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • 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: Hoddevik
Triple: [Stad, contains, Hoddevik]
Generated description
Hoddevik is a small coastal village in western Norway known for its scenic bay, sandy beach, and popularity as a surfing destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoddevik
Target entity description: Hoddevik is a small coastal village in western Norway known for its scenic bay, sandy beach, and popularity as a surfing destination.
  • A. Leirvik
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • B. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • C. Haukland
    Haukland is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic beach and dramatic surrounding mountains.
  • D. Peberholm
    Peberholm is an artificial island in the Øresund Strait, created as part of the Øresund Bridge–Tunnel link between Denmark and Sweden and known for its role as both transport infrastructure and a protected nature reserve.
  • E. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219635b08190a19dcaeb72240379 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff22e2f298819085c90e28acafef44 completed May 9, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff240af68c8190af88834d97a42afb completed May 9, 2026, 12:09 p.m.
Created at: April 10, 2026, 3:17 a.m.