Triple

T10442159
Position Surface form Disambiguated ID Type / Status
Subject Fichtel Mountains E246194 entity
Predicate sourceOfRiver P25636 FINISHED
Object Red Main E514973 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: Red Main | Statement: [Fichtel Mountains, sourceOfRiver, Red Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Main
Context triple: [Fichtel Mountains, sourceOfRiver, Red Main]
  • A. Red Main chosen
    The Red Main is a river in northern Bavaria, Germany, that flows through the city of Bayreuth and forms one of the two headstreams of the Main River.
  • B. Red Town
    Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
  • C. Shout
    "Shout" is a classic 1959 rhythm and blues song by The Isley Brothers that became an enduring party anthem and pop culture staple.
  • D. Shout
    Shout is a film written by Joe Gayton, best known as a rock-and-roll–infused drama set in the 1950s about a rebellious music teacher who transforms a small-town Texas boys’ school.
  • E. Backbeat
    Backbeat is a 1994 biographical drama film about the early days of The Beatles in Hamburg, focusing on the relationship between John Lennon and original bassist Stuart Sutcliffe.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.