Triple

T21319376
Position Surface form Disambiguated ID Type / Status
Subject Dijle E525569 entity
Predicate hasConfluenceWith P2416 FINISHED
Object Nete 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: Nete | Statement: [Dijle, hasConfluenceWith, Nete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nete
Context triple: [Dijle, hasConfluenceWith, Nete]
  • A. Nete chosen
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Netaim
    Netaim is a biblical town mentioned in the Hebrew Bible, traditionally associated with the region of Judah and sometimes linked by scholars to archaeological sites such as Tel Qeiyafa.
  • C. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • D. Nieste
    Nieste is a small settlement located within Germany's historic Westphalia region.
  • E. Netsch
    Netsch is the surname of Walter Andrew Netsch Jr., an influential American architect known for his distinctive modernist designs and work on academic and civic buildings.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecf12248190bb4172ad7416775e completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:38 p.m.