Triple

T23075160
Position Surface form Disambiguated ID Type / Status
Subject Asker E575307 entity
Predicate contains P35 FINISHED
Object Vettre
Vettre is a village in Asker municipality in Viken county, Norway, known as a residential area along the Oslofjord.
 E1571907 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: Vettre | Statement: [Asker, contains, Vettre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vettre
Context triple: [Asker, contains, Vettre]
  • A. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • B. Vidronisi
    Vidronisi is a small Greek island located within the Prespa lake system, known for its protected natural environment and rich birdlife.
  • C. Velino
    The Velino is a river in central Italy that flows through the province of Rieti before joining the Nera River near Terni.
  • D. Vreten
    Vreten was the former name of the Stockholm metro station now known as Solna strand, located in the municipality of Solna, Sweden.
  • E. Veggiano
    Veggiano is a small municipality in the Veneto region of northern Italy, situated in the province of Padua.
  • 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: Vettre
Triple: [Asker, contains, Vettre]
Generated description
Vettre is a village in Asker municipality in Viken county, Norway, known as a residential area along the Oslofjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vettre
Target entity description: Vettre is a village in Asker municipality in Viken county, Norway, known as a residential area along the Oslofjord.
  • A. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • B. Vidronisi
    Vidronisi is a small Greek island located within the Prespa lake system, known for its protected natural environment and rich birdlife.
  • C. Velino
    The Velino is a river in central Italy that flows through the province of Rieti before joining the Nera River near Terni.
  • D. Vreten
    Vreten was the former name of the Stockholm metro station now known as Solna strand, located in the municipality of Solna, Sweden.
  • E. Veggiano
    Veggiano is a small municipality in the Veneto region of northern Italy, situated in the province of Padua.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c62c200819099c92654493288ad completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23dca4c08190a9619956a45aa17a completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271d8fc48190a818c73660218022 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c2951a718819088c1c7d8435586ec completed May 19, 2026, 9:11 a.m.
Created at: April 17, 2026, 3:56 p.m.