Triple

T12583524
Position Surface form Disambiguated ID Type / Status
Subject Kumpula Campus E300397 entity
Predicate hasBuilding P105 FINISHED
Object Chemicum E993710 NE FINISHED

How this triple was built (2 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: Chemicum | Statement: [Kumpula Campus, hasBuilding, Chemicum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chemicum
Context triple: [Kumpula Campus, hasBuilding, Chemicum]
  • A. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • B. The Chemist
    The Chemist is a thriller novel by Stephenie Meyer that follows a former government interrogator on the run who is forced to use her lethal skills to survive.
  • C. Physicum chosen
    Physicum is a major science building on the University of Helsinki’s Kumpula Campus, housing departments and facilities focused on physical sciences and related research.
  • D. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • E. Alkemade
    Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f67190a20c8190918b465b67d25869 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:03 p.m.