Triple

T22736884
Position Surface form Disambiguated ID Type / Status
Subject Hamburg E562294 entity
Predicate hasRiver P165 FINISHED
Object Bille 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: Bille | Statement: [Hamburg, hasRiver, Bille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bille
Context triple: [Hamburg, hasRiver, Bille]
  • A. Bille
    Bille is the given name of Australian actor and playwright Bille Brown.
  • B. Bille chosen
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • C. Billi
    Billi is the young Chinese-American woman at the heart of the film "The Farewell," struggling between cultural traditions and personal honesty as her family hides her grandmother’s terminal diagnosis.
  • D. Bili
    Bili is the popular nickname for Croatian football club HNK Hajduk Split, referring to the team’s traditional white kit and identity.
  • E. Bilger
    Bilger is a surname of likely Germanic origin borne by various individuals, including academic and literary figures.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796fc2a88190a4d86b421345b088 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.