Triple

T3522261
Position Surface form Disambiguated ID Type / Status
Subject Hurtigruten coastal route E74448 entity
Predicate stopsAt P6657 FINISHED
Object Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
E378640 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: Honningsvåg | Statement: [Hurtigruten coastal route, stopsAt, Honningsvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honningsvåg
Context triple: [Hurtigruten coastal route, stopsAt, Honningsvåg]
  • A. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • B. Norheimsund
    Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • E. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • 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: Honningsvåg
Triple: [Hurtigruten coastal route, stopsAt, Honningsvåg]
Generated description
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Honningsvåg
Target entity description: Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • A. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • B. Norheimsund
    Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • E. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4dd6d48190a5a3f4b86c82b86c completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48821c3388190957dfccdcbdfff40 completed March 13, 2026, 9:56 p.m.
NEDg Description generation batch_69b48a7df900819098fe4bbe97ea73b3 completed March 13, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69b4bcaa45cc8190a5db8bfd8845efb1 completed March 14, 2026, 1:40 a.m.
Created at: March 8, 2026, 3:19 p.m.