Triple

T12454426
Position Surface form Disambiguated ID Type / Status
Subject S1 line E297619 entity
Predicate serves P98 FINISHED
Object Rhine-Main region E89528 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: Rhine-Main region | Statement: [S1 line, serves, Rhine-Main region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhine-Main region
Context triple: [S1 line, serves, Rhine-Main region]
  • A. Rhine-Main metropolitan region chosen
    The Rhine-Main metropolitan region is a major German urban and economic hub centered around Frankfurt am Main, known for its finance, transport, and service industries.
  • B. Kaiserslautern region
    The Kaiserslautern region is an area in the German state of Rhineland-Palatinate known for its city of Kaiserslautern, surrounding rural districts, and strong football and military presence.
  • C. Wetterau region
    The Wetterau region is a fertile, historically significant area in central Hesse, Germany, known for its agriculture and dense concentration of medieval towns and castles.
  • D. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • E. South Hesse
    South Hesse is a region in the southern part of the German state of Hesse that includes major urban and economic centers such as Darmstadt and the Rhine-Main area.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea710d481908371209cb92502a6 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:56 p.m.