Triple

T22415385
Position Surface form Disambiguated ID Type / Status
Subject Langstraat region E554109 entity
Predicate hasTown P847 FINISHED
Object Sprang-Capelle 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: Sprang-Capelle | Statement: [Langstraat region, hasTown, Sprang-Capelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sprang-Capelle
Context triple: [Langstraat region, hasTown, Sprang-Capelle]
  • A. Sprang-Capelle chosen
    Sprang-Capelle is a village in the Dutch province of North Brabant, known historically as a separate municipality before becoming part of Waalwijk.
  • B. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • C. Wernerkapelle
    Wernerkapelle is a ruined Gothic chapel in Oberwesel, Germany, known for its striking riverside silhouette above the Rhine.
  • D. Wernerkapelle
    Wernerkapelle is the ruined Gothic chapel above Bacharach on the Rhine, known for its striking architecture and its historical association with medieval anti-Jewish legends.
  • E. Lamspringe
    Lamspringe is a small municipality in Lower Saxony, Germany, known for its historic former Benedictine monastery and rural setting within the Hildesheim region.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594615f881909688b02548ee83eb completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.