Triple

T18717621
Position Surface form Disambiguated ID Type / Status
Subject Brouwers Dam E457682 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Renesse 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: Renesse | Statement: [Brouwers Dam, hasNearbySettlement, Renesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renesse
Context triple: [Brouwers Dam, hasNearbySettlement, Renesse]
  • A. Renesse chosen
    Renesse is a coastal village and popular seaside resort on the Dutch island of Schouwen-Duiveland in the province of Zeeland.
  • B. Schenevus
    Schenevus is a small village in upstate New York known for its rural character and historic charm.
  • C. Custinne
    Custinne is a small village in the municipality of Houyet in the Walloon region of Belgium.
  • D. Despoena
    Despoena is a figure from Greek mythology, often regarded as a mysterious goddess associated with Arcadian cults and sometimes identified as a daughter of Demeter.
  • E. Thiesi
    Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab8198c8190bf2c4acaeb561970 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.