Triple

T7129744
Position Surface form Disambiguated ID Type / Status
Subject Vesturbær E166154 entity
Predicate roadNetworkIncludes P3374 FINISHED
Object Hagamelur
Hagamelur is a street located in the Vesturbær district of Reykjavík, Iceland.
 E644370 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: Hagamelur | Statement: [Vesturbær, roadNetworkIncludes, Hagamelur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hagamelur
Context triple: [Vesturbær, roadNetworkIncludes, Hagamelur]
  • A. Haukeli
    Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
  • B. Húsareyn
    Húsareyn is a prominent mountain on the Faroe Islands’ island of Streymoy, known as its highest peak and a notable natural landmark.
  • C. Hauketo
    Hauketo is a residential neighborhood in the southern part of Oslo, Norway, known for its mix of apartment blocks, green areas, and access to public transportation.
  • D. 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.
  • E. Hodal
    Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
  • 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: Hagamelur
Triple: [Vesturbær, roadNetworkIncludes, Hagamelur]
Generated description
Hagamelur is a street located in the Vesturbær district of Reykjavík, Iceland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hagamelur
Target entity description: Hagamelur is a street located in the Vesturbær district of Reykjavík, Iceland.
  • A. Haukeli
    Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
  • B. Húsareyn
    Húsareyn is a prominent mountain on the Faroe Islands’ island of Streymoy, known as its highest peak and a notable natural landmark.
  • C. Hauketo
    Hauketo is a residential neighborhood in the southern part of Oslo, Norway, known for its mix of apartment blocks, green areas, and access to public transportation.
  • D. 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.
  • E. Hodal
    Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.