Triple

T22406198
Position Surface form Disambiguated ID Type / Status
Subject Usipetes E553885 entity
Predicate neighboringPeople P11274 FINISHED
Object Sugambri NE NERFINISHED

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: Sugambri | Statement: [Usipetes, neighboringPeople, Sugambri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugambri
Context triple: [Usipetes, neighboringPeople, Sugambri]
  • A. Sugambri chosen
    The Sugambri were an ancient Germanic tribe that lived along the lower Rhine and were known for their conflicts with the Roman Empire.
  • B. Garamas
    Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
  • C. Sabagreia
    Sabagreia is a town located within the Kolokuma/Opokuma area of Bayelsa State in Nigeria.
  • D. Medesano
    Medesano is a municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and proximity to the Taro River.
  • E. Cameia
    Cameia is a small town in eastern Angola’s Moxico Province, known as a gateway to the nearby Cameia National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b835e88190a388e19577df771e completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.