Triple

T12038185
Position Surface form Disambiguated ID Type / Status
Subject Vinje E286593 entity
Predicate containsSettlement P847 FINISHED
Object Arabygdi
Arabygdi is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway.
 E961092 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: Arabygdi | Statement: [Vinje, containsSettlement, Arabygdi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arabygdi
Context triple: [Vinje, containsSettlement, Arabygdi]
  • A. AEGEAN
    AEGEAN is the radio callsign used by Aegean Airlines, the largest Greek airline operating domestic and international flights.
  • B. Alonissos
    Alonissos is a Greek island in the Aegean Sea, known for its unspoiled natural beauty and the National Marine Park that protects rare marine life such as the Mediterranean monk seal.
  • C. Nea Erythraia
    Nea Erythraia is a suburban area in the northern part of the Athens metropolitan region in Greece, known for its residential character and proximity to Kifisia.
  • D. Pelago
    Pelago is a travel and experiences booking platform that curates and sells activities, tours, and attractions to consumers, often in partnership with airlines and tourism brands.
  • E. Ἠχώ
    Ἠχώ is the Greek mythological nymph cursed to only repeat the words of others, from whom the modern term “echo” is derived.
  • 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: Arabygdi
Triple: [Vinje, containsSettlement, Arabygdi]
Generated description
Arabygdi is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arabygdi
Target entity description: Arabygdi is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway.
  • A. AEGEAN
    AEGEAN is the radio callsign used by Aegean Airlines, the largest Greek airline operating domestic and international flights.
  • B. Alonissos
    Alonissos is a Greek island in the Aegean Sea, known for its unspoiled natural beauty and the National Marine Park that protects rare marine life such as the Mediterranean monk seal.
  • C. Nea Erythraia
    Nea Erythraia is a suburban area in the northern part of the Athens metropolitan region in Greece, known for its residential character and proximity to Kifisia.
  • D. Pelago
    Pelago is a travel and experiences booking platform that curates and sells activities, tours, and attractions to consumers, often in partnership with airlines and tourism brands.
  • E. Ἠχώ
    Ἠχώ is the Greek mythological nymph cursed to only repeat the words of others, from whom the modern term “echo” is derived.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d8a9af881909e28783b0d83ed82 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d930714819080f92d223d930389 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56495830c8190ad5e1767f251b4c5 completed May 2, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:47 p.m.