Triple

T12583522
Position Surface form Disambiguated ID Type / Status
Subject Kumpula Campus E300397 entity
Predicate hasBuilding P105 FINISHED
Object Exactum
Exactum is a major university building on the University of Helsinki’s Kumpula Campus, primarily housing departments in mathematics, statistics, and computer science.
 E993709 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: Exactum | Statement: [Kumpula Campus, hasBuilding, Exactum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Exactum
Context triple: [Kumpula Campus, hasBuilding, Exactum]
  • A. Xcellence
    Xcellence is a higher-end SEAT Ateca trim level that emphasizes comfort, technology, and premium styling features.
  • B. Emprise
    Emprise is a science fiction novel by Michael Kube-McDowell, known as the first book in his Trigon Disunity series exploring humanity’s contact with extraterrestrial intelligence.
  • C. Xcelence
    Xcelence is a music producer known for creating the track "Follow God."
  • D. Metrorex
    Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
  • E. Clearpoint
    Clearpoint is a popular line of Paper Mate mechanical pencils known for their side-click advance mechanism and comfortable, ergonomic design.
  • 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: Exactum
Triple: [Kumpula Campus, hasBuilding, Exactum]
Generated description
Exactum is a major university building on the University of Helsinki’s Kumpula Campus, primarily housing departments in mathematics, statistics, and computer science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Exactum
Target entity description: Exactum is a major university building on the University of Helsinki’s Kumpula Campus, primarily housing departments in mathematics, statistics, and computer science.
  • A. Xcellence
    Xcellence is a higher-end SEAT Ateca trim level that emphasizes comfort, technology, and premium styling features.
  • B. Emprise
    Emprise is a science fiction novel by Michael Kube-McDowell, known as the first book in his Trigon Disunity series exploring humanity’s contact with extraterrestrial intelligence.
  • C. Xcelence
    Xcelence is a music producer known for creating the track "Follow God."
  • D. Metrorex
    Metrorex is the state-owned company responsible for operating and managing the Bucharest Metro system in Romania.
  • E. Clearpoint
    Clearpoint is a popular line of Paper Mate mechanical pencils known for their side-click advance mechanism and comfortable, ergonomic design.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bac9708190ad8f277e7751bf5c completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fadc97081908376913e390cfc3d completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f660c3d914819097b57784889ca389 completed May 2, 2026, 8:38 p.m.
Created at: April 9, 2026, 5:03 p.m.