Triple

T12501277
Position Surface form Disambiguated ID Type / Status
Subject Grubenhagen E298827 entity
Predicate locatedInRegion P40 FINISHED
Object Leine valley E991374 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: Leine valley | Statement: [Grubenhagen, locatedInRegion, Leine valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leine valley
Context triple: [Grubenhagen, locatedInRegion, Leine valley]
  • A. Leine
    The Leine is a major river in central Germany that flows through the federal state of Lower Saxony, passing cities such as Göttingen and Hanover before joining the Aller.
  • B. Leine river basin chosen
    The Leine river basin is the drainage area of the Leine River in central Germany, encompassing its tributaries, floodplains, and associated natural habitats.
  • C. Aller-Leine Valley
    The Aller-Leine Valley is a scenic river landscape in Lower Saxony, Germany, known for its wetlands, nature reserves, and outdoor recreation opportunities.
  • D. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • E. Erft River
    The Erft River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and known for passing historic towns and former mining areas before joining the Rhine near Neuss.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d12cd88190b6e205ad98296ed9 completed May 3, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:57 p.m.