Triple

T16107400
Position Surface form Disambiguated ID Type / Status
Subject Eberbach E390774 entity
Predicate locatedIn P40 FINISHED
Object Neckar valley E714960 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: Neckar valley | Statement: [Eberbach, locatedIn, Neckar valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neckar valley
Context triple: [Eberbach, locatedIn, Neckar valley]
  • A. Neckar basin chosen
    The Neckar basin is the drainage area of the Neckar River in southwestern Germany, encompassing its tributaries and surrounding landscapes within the upper Rhine watershed.
  • B. Neckar
    The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
  • C. Wuhle Valley
    Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
  • D. High Rhine
    The High Rhine is a stretch of the Rhine River in Central Europe, flowing swiftly between Lake Constance and Basel and forming part of the border between Germany and Switzerland.
  • E. Kinzig
    The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6e55c08190b77f344e4e8c42ad completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009183a94081909c5892b1ccbc1d7a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5 a.m.