Triple

T5281326
Position Surface form Disambiguated ID Type / Status
Subject Kvarnholmen E119503 entity
Predicate near P350 FINISHED
Object Danvikshem
Danvikshem is a historic and architecturally prominent former retirement and nursing home complex in Nacka, just outside central Stockholm, Sweden.
 E508321 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: Danvikshem | Statement: [Kvarnholmen, near, Danvikshem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danvikshem
Context triple: [Kvarnholmen, near, Danvikshem]
  • A. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • B. Dagmaer
    Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
  • C. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • D. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • E. Dhiseig
    Dhiseig is a small coastal settlement on the Isle of Mull in Scotland, known primarily as the usual starting point for ascents of the mountain Ben More.
  • 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: Danvikshem
Triple: [Kvarnholmen, near, Danvikshem]
Generated description
Danvikshem is a historic and architecturally prominent former retirement and nursing home complex in Nacka, just outside central Stockholm, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danvikshem
Target entity description: Danvikshem is a historic and architecturally prominent former retirement and nursing home complex in Nacka, just outside central Stockholm, Sweden.
  • A. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • B. Dagmaer
    Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
  • C. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • D. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • E. Dhiseig
    Dhiseig is a small coastal settlement on the Isle of Mull in Scotland, known primarily as the usual starting point for ascents of the mountain Ben More.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e27b5081908b755a817d4c260a completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf08bf26448190bd3a3f632ea79d85 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf091f09f88190aa382387e6b94662 completed March 21, 2026, 9:09 p.m.
Created at: March 20, 2026, 1:52 p.m.