Triple

T5152377
Position Surface form Disambiguated ID Type / Status
Subject Norsjø E116225 entity
Predicate nearbyVillage P4647 FINISHED
Object Gvarv
Gvarv is a small village in Telemark, Norway, known for its fruit farming and scenic location near the lake Norsjø.
 E498536 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: Gvarv | Statement: [Norsjø, nearbyVillage, Gvarv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gvarv
Context triple: [Norsjø, nearbyVillage, Gvarv]
  • A. Övdalian
    Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
  • B. Givlaari
    Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. Givors
    Givors is a commune in eastern France located in the Metropolis of Lyon, known historically as an industrial and river-port town on the Rhône.
  • E. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • 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: Gvarv
Triple: [Norsjø, nearbyVillage, Gvarv]
Generated description
Gvarv is a small village in Telemark, Norway, known for its fruit farming and scenic location near the lake Norsjø.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gvarv
Target entity description: Gvarv is a small village in Telemark, Norway, known for its fruit farming and scenic location near the lake Norsjø.
  • A. Övdalian
    Övdalian is a North Germanic language variety spoken in the Älvdalen region of Sweden, noted for preserving many archaic features lost in standard Swedish.
  • B. Givlaari
    Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. Givors
    Givors is a commune in eastern France located in the Metropolis of Lyon, known historically as an industrial and river-port town on the Rhône.
  • E. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0099afc8190badca81bd5efb8f6 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed3f4af288190beec97356b21f990 completed March 21, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69bed49625688190972acb1cb0c2a83b completed March 21, 2026, 5:25 p.m.
Created at: March 20, 2026, 1:44 p.m.