Triple

T16815344
Position Surface form Disambiguated ID Type / Status
Subject Northeim E408729 entity
Predicate hasRiver P165 FINISHED
Object Rhume E298828 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: Rhume | Statement: [Northeim, hasRiver, Rhume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhume
Context triple: [Northeim, hasRiver, Rhume]
  • A. Rhume chosen
    The Rhume is a river in Lower Saxony, Germany, known as a tributary of the Leine and for its karstic spring source near the Harz mountains.
  • B. Rhees
    Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
  • C. Waimes
    Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
  • D. Rommely
    Rommely is the surname of the fictional Rommely family featured in Betty Smith’s novel "A Tree Grows in Brooklyn."
  • E. Robaire
    Robaire is a fictional member of the boy band 4*Town from Pixar's animated film "Turning Red."
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.