Triple

T9487516
Position Surface form Disambiguated ID Type / Status
Subject Clades Variana E228798 entity
Predicate opponent P437 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: [Clades Variana, opponent, Bructeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bructeri
Context triple: [Clades Variana, opponent, 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.