Triple

T1322711
Position Surface form Disambiguated ID Type / Status
Subject Reykjavík E28255 entity
Predicate demonym P191 FINISHED
Object Reykvíkingur
Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
 E152155 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: Reykvíkingur | Statement: [Reykjavík, demonym, Reykvíkingur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reykvíkingur
Context triple: [Reykjavík, demonym, Reykvíkingur]
  • A. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • B. Gardar
    Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
  • C. Brattahlid
    Brattahlid was the main Norse settlement and estate of Erik the Red in southern Greenland, serving as a central hub of the medieval Greenlandic Norse colony.
  • D. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • E. Snaefell
    Snaefell is a prominent mountain on the Isle of Man known for its panoramic views, from which it is said you can see six kingdoms on a clear day.
  • 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: Reykvíkingur
Triple: [Reykjavík, demonym, Reykvíkingur]
Generated description
Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reykvíkingur
Target entity description: Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
  • A. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • B. Gardar
    Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
  • C. Brattahlid
    Brattahlid was the main Norse settlement and estate of Erik the Red in southern Greenland, serving as a central hub of the medieval Greenlandic Norse colony.
  • D. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • E. Snaefell
    Snaefell is a prominent mountain on the Isle of Man known for its panoramic views, from which it is said you can see six kingdoms on a clear day.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19b76b48190aa8857b80971a842 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2e13dc8190902879be5fa69adb completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf94e6e881908d15b2ef99f17668 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0b212608190bbb2310402d86ed9 completed March 8, 2026, 12:20 a.m.
Created at: March 1, 2026, 7:55 p.m.