Triple

T13262545
Position Surface form Disambiguated ID Type / Status
Subject Vestvågøy E315834 entity
Predicate hasVillage P4011 FINISHED
Object Steine
Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
E1030718 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: Steine | Statement: [Vestvågøy, hasVillage, Steine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steine
Context triple: [Vestvågøy, hasVillage, Steine]
  • A. Stonem
    Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
  • B. Piedras
    Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
  • C. Idee di pietra
    Idee di pietra is a contemporary sculpture by Italian artist Giuseppe Penone that juxtaposes a tree form with a large stone to explore the relationship between nature, time, and material.
  • D. Externsteine
    Externsteine is a striking sandstone rock formation in Germany renowned for its dramatic cliffs, prehistoric and medieval carvings, and significance as a cultural and natural landmark.
  • E. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • 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: Steine
Triple: [Vestvågøy, hasVillage, Steine]
Generated description
Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steine
Target entity description: Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
  • A. Stonem
    Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
  • B. Piedras
    Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
  • C. Idee di pietra
    Idee di pietra is a contemporary sculpture by Italian artist Giuseppe Penone that juxtaposes a tree form with a large stone to explore the relationship between nature, time, and material.
  • D. Externsteine
    Externsteine is a striking sandstone rock formation in Germany renowned for its dramatic cliffs, prehistoric and medieval carvings, and significance as a cultural and natural landmark.
  • E. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:25 p.m.