Triple

T3701762
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate containsTown P847 FINISHED
Object Skibotn
Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
E381853 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: Skibotn | Statement: [Troms, containsTown, Skibotn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skibotn
Context triple: [Troms, containsTown, Skibotn]
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • C. Stabekk
    Stabekk is a suburban area in Bærum, Norway, known for its residential neighborhoods, proximity to Oslo, and good transport connections.
  • D. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • E. Noatun
    Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
  • 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: Skibotn
Triple: [Troms, containsTown, Skibotn]
Generated description
Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skibotn
Target entity description: Skibotn is a small village in northern Norway known for its clear skies and role as a center for astronomical observations.
  • A. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • B. Seiskari
    Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
  • C. Stabekk
    Stabekk is a suburban area in Bærum, Norway, known for its residential neighborhoods, proximity to Oslo, and good transport connections.
  • D. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • E. Noatun
    Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf53190819098529d11a5a3c7a8 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4cf799ae88190bbf821f4c4500031 completed March 14, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69b4d0057fe8819092a40732324f88c9 completed March 14, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:33 p.m.