Triple

T9554933
Position Surface form Disambiguated ID Type / Status
Subject Cherusci E230516 entity
Predicate relatedGroup P37 FINISHED
Object Bructeri E610579 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: Bructeri | Statement: [Cherusci, relatedGroup, Bructeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bructeri
Context triple: [Cherusci, relatedGroup, Bructeri]
  • A. Bructeri chosen
    The Bructeri were an ancient Germanic tribe that lived in what is now northwestern Germany during the Roman era.
  • B. Wolinella
    Wolinella is a genus of anaerobic, Gram-negative bacteria known for inhabiting animal gastrointestinal tracts and participating in hydrogen-based syntrophic relationships.
  • C. Critobulus
    Critobulus was an ancient Athenian known from Plato’s dialogues as the son of Crito and an associate of Socrates.
  • D. Borella
    Borella is a prominent residential and commercial suburb within Colombo, Sri Lanka, known for its central location and diverse urban character.
  • E. Malacobacter
    Malacobacter is a genus of bacteria within the phylum Campylobacterota, comprising spiral-shaped, motile microorganisms often associated with aquatic or marine environments.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd992412148190b092bd9918764d5f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:03 p.m.