Triple

T8017797
Position Surface form Disambiguated ID Type / Status
Subject Fils E186662 entity
Predicate tributaryOf P415 FINISHED
Object Neckar E79602 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 | Statement: [Fils, tributaryOf, Neckar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neckar
Context triple: [Fils, tributaryOf, Neckar]
  • A. Neckar chosen
    The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
  • B. Kinzig
    The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • C. Regnitz
    The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main 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. Jagst
    The Jagst is a river in Baden-Württemberg, Germany, known as one of the major right-bank tributaries of the Neckar and flowing through a largely rural, scenic landscape.
  • 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_69ce6c91c0d48190ace4394724efd8e0 completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:20 p.m.