Triple

T7269804
Position Surface form Disambiguated ID Type / Status
Subject Fulda E161070 entity
Predicate namedAfter P63 FINISHED
Object Fulda River E662129 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: Fulda River | Statement: [Fulda, namedAfter, Fulda River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fulda River
Context triple: [Fulda, namedAfter, Fulda River]
  • A. Fulda River chosen
    The Fulda River is a major river in central Germany that flows through the state of Hesse and joins the Werra River at Hann. Münden to form the Weser.
  • B. Schwalm River
    The Schwalm River is a waterway in the German state of Hesse that lends its name to the surrounding Schwalm-Eder region.
  • C. Wiese River
    The Wiese River is a tributary of the Rhine flowing through parts of Germany and Switzerland, including the municipality of Riehen near Basel.
  • D. Schwabach River
    The Schwabach River is a small river in Bavaria, Germany, that flows through the town of Schwabach before joining the Rednitz River.
  • E. Würm River
    The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae9f8bc8190a8c31cc29926919c completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eb53060819081312e8b2805e9db completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 2:58 p.m.