Triple

T8962282
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Sigmaringen E214035 entity
Predicate contains P35 FINISHED
Object town of Gammertingen E727134 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: town of Gammertingen | Statement: [Landkreis Sigmaringen, contains, town of Gammertingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Gammertingen
Context triple: [Landkreis Sigmaringen, contains, town of Gammertingen]
  • A. Gammertingen chosen
    Gammertingen is a small town in the state of Baden-Württemberg in southwestern Germany.
  • B. Treuchtlingen
    Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
  • C. Herrenberg
    Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
  • D. Gräfenhausen
    Gräfenhausen is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • E. Eigeltingen
    Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6749e5008190a01f42a2e772dd54 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94e088881909506b229d1fff44a completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.