Triple

T19220330
Position Surface form Disambiguated ID Type / Status
Subject Flisa E480594 entity
Predicate nearbySettlement P350 FINISHED
Object Gjesåsen
Gjesåsen is a small rural village in Åsnes Municipality in Innlandet county, Norway, known for its agricultural surroundings and proximity to the local center of Flisa.
E1374624 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: Gjesåsen | Statement: [Flisa, nearbySettlement, Gjesåsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjesåsen
Context triple: [Flisa, nearbySettlement, Gjesåsen]
  • A. Kjeåsen
    Kjeåsen is a remote mountain farm in Norway, famed for its dramatic location high above the Simadalsfjord in Eidfjord.
  • B. Byåsen
    Byåsen is a largely residential hillside district in Trondheim, Norway, known for its scenic views over the city and access to outdoor recreation areas.
  • C. Jørstadmoen
    Jørstadmoen is a military base and village area in Lillehammer, Norway, known primarily as a key site for the Norwegian Armed Forces and home to important defense and cyber units.
  • D. Selbekken
    Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
  • E. Grøtnesdalen
    Grøtnesdalen is a small settlement located on the island of Ringvassøya in northern 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: Gjesåsen
Triple: [Flisa, nearbySettlement, Gjesåsen]
Generated description
Gjesåsen is a small rural village in Åsnes Municipality in Innlandet county, Norway, known for its agricultural surroundings and proximity to the local center of Flisa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gjesåsen
Target entity description: Gjesåsen is a small rural village in Åsnes Municipality in Innlandet county, Norway, known for its agricultural surroundings and proximity to the local center of Flisa.
  • A. Kjeåsen
    Kjeåsen is a remote mountain farm in Norway, famed for its dramatic location high above the Simadalsfjord in Eidfjord.
  • B. Byåsen
    Byåsen is a largely residential hillside district in Trondheim, Norway, known for its scenic views over the city and access to outdoor recreation areas.
  • C. Jørstadmoen
    Jørstadmoen is a military base and village area in Lillehammer, Norway, known primarily as a key site for the Norwegian Armed Forces and home to important defense and cyber units.
  • D. Selbekken
    Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
  • E. Grøtnesdalen
    Grøtnesdalen is a small settlement located on the island of Ringvassøya in northern 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0733b9f9bc8190a0e3b5b0f1d409d3 completed May 15, 2026, 2:54 p.m.
NEDg Description generation batch_6a0734809dc48190b4378e168e0e35ec completed May 15, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a07355c10c881909f8a2a3a6b7e7dfe completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:24 p.m.