Triple

T9364328
Position Surface form Disambiguated ID Type / Status
Subject district of Dachau E225361 entity
Predicate locatedOnRiver P165 FINISHED
Object Amper E206210 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: Amper | Statement: [district of Dachau, locatedOnRiver, Amper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amper
Context triple: [district of Dachau, locatedOnRiver, Amper]
  • A. Amper chosen
    The Amper is a river in Bavaria, Germany, known for flowing from the Ammersee toward the Isar and ultimately contributing to the Danube river system.
  • B. Ampere
    Ampere is NVIDIA's GPU microarchitecture known for its improved ray tracing, AI acceleration, and power efficiency across gaming and professional graphics cards.
  • C. ampere
    The ampere is the SI base unit of electric current, defining the amount of electric charge passing a point in a circuit per unit time.
  • D. Ohm
    The Ohm is a river in the German state of Hesse that flows through towns such as Marburg before joining the Lahn.
  • E. Anput
    Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.