Triple

T8017800
Position Surface form Disambiguated ID Type / Status
Subject Fils E186662 entity
Predicate flowsThrough P225 FINISHED
Object Geislingen an der Steige E707643 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: Geislingen an der Steige | Statement: [Fils, flowsThrough, Geislingen an der Steige]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geislingen an der Steige
Context triple: [Fils, flowsThrough, Geislingen an der Steige]
  • A. Geislingen an der Steige chosen
    Geislingen an der Steige is a historic town in Baden-Württemberg, Germany, known for its location on the steep ascent of the Fils Valley and its long tradition of metal and household goods manufacturing.
  • B. Stühlingen
    Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
  • C. Giengen an der Brenz
    Giengen an der Brenz is a small town in the state of Baden-Württemberg in southern Germany, known as the birthplace of the Steiff teddy bear.
  • D. Giessenburg
    Giessenburg is a village in the Dutch province of South Holland, known for its rural character and location along the river Giessen.
  • E. Bad Säckingen
    Bad Säckingen is a historic spa town in southwestern Germany on the Rhine River, known for its medieval old town and one of the longest covered wooden bridges in Europe.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c4937c8190999a156299299ab3 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:20 p.m.