Triple

T1322748
Position Surface form Disambiguated ID Type / Status
Subject Reykjavík E28255 entity
Predicate hasDistrict P459 FINISHED
Object Breiðholt
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
 E161839 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: Breiðholt | Statement: [Reykjavík, hasDistrict, Breiðholt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Breiðholt
Context triple: [Reykjavík, hasDistrict, Breiðholt]
  • A. Reykvíkingur
    Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
  • B. 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.
  • C. Gardar
    Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
  • D. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • E. Vaxön
    Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
  • 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: Breiðholt
Triple: [Reykjavík, hasDistrict, Breiðholt]
Generated description
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Breiðholt
Target entity description: Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
  • A. Reykvíkingur
    Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
  • B. 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.
  • C. Gardar
    Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
  • D. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • E. Vaxön
    Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
  • 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_69ace55f2c288190b8315794b11a7e65 completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace61b0ba08190930f9e21d28b4449 completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6b543ec819080a5ddeed0273644 completed March 8, 2026, 3:02 a.m.
Created at: March 1, 2026, 7:55 p.m.