Triple

T5021241
Position Surface form Disambiguated ID Type / Status
Subject Kinzig E112852 entity
Predicate nearbyCity P350 FINISHED
Object Kehl E250513 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: Kehl | Statement: [Kinzig, nearbyCity, Kehl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kehl
Context triple: [Kinzig, nearbyCity, Kehl]
  • A. Kehl chosen
    Kehl is a German town in the state of Baden-Württemberg located on the Rhine directly opposite Strasbourg, France, known for its cross-border cooperation and integration with the French city.
  • B. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • C. Esslingen am Neckar
    Esslingen am Neckar is a historic German town near Stuttgart, renowned for its well-preserved medieval old town, half-timbered houses, and hillside vineyards along the Neckar River.
  • D. Rastatt
    Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
  • E. Lahr
    Lahr is a town in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River opposite Strasbourg and known for its historic center and proximity to the Black Forest.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736399ac8190aa38efc4b4edc6a2 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d466cbc8190a91dcc0c26aba817 completed March 22, 2026, 11:37 p.m.
Created at: March 20, 2026, 1:36 p.m.