Triple

T20682295
Position Surface form Disambiguated ID Type / Status
Subject Danvikshem E508321 entity
Predicate overlooks P1323 FINISHED
Object Danviken
Danviken is a small bay and historic inlet in Stockholm, Sweden, known for its industrial and maritime heritage.
E1445306 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: Danviken | Statement: [Danvikshem, overlooks, Danviken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danviken
Context triple: [Danvikshem, overlooks, Danviken]
  • A. Molvik
    Molvik is a minor, somewhat eccentric character in Henrik Ibsen’s play *The Wild Duck*, contributing to the drama’s exploration of illusion and reality.
  • B. Hasselvika
    Hasselvika is a small coastal village in the former Agdenes municipality in Trøndelag county, central Norway.
  • C. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • D. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • E. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • 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: Danviken
Triple: [Danvikshem, overlooks, Danviken]
Generated description
Danviken is a small bay and historic inlet in Stockholm, Sweden, known for its industrial and maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danviken
Target entity description: Danviken is a small bay and historic inlet in Stockholm, Sweden, known for its industrial and maritime heritage.
  • A. Molvik
    Molvik is a minor, somewhat eccentric character in Henrik Ibsen’s play *The Wild Duck*, contributing to the drama’s exploration of illusion and reality.
  • B. Hasselvika
    Hasselvika is a small coastal village in the former Agdenes municipality in Trøndelag county, central Norway.
  • C. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • D. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • E. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea842dc81908106a0c29d1577aa completed April 21, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7dc58f881908cf6d60dd90fb335 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d8c8b7688190824db50a1538d943 completed May 16, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_6a08d93178d88190a94e4874169ecb0d completed May 16, 2026, 8:53 p.m.
Created at: April 16, 2026, 11:45 a.m.