Triple

T9610390
Position Surface form Disambiguated ID Type / Status
Subject Sauerland E232082 entity
Predicate majorTown P316 FINISHED
Object Meschede E369819 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: Meschede | Statement: [Sauerland, majorTown, Meschede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meschede
Context triple: [Sauerland, majorTown, Meschede]
  • A. Meschede chosen
    Meschede is a town in the Hochsauerland district of North Rhine-Westphalia, Germany, known for its scenic location along the Ruhr River and its regional administrative and educational roles.
  • B. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Mezzegra
    Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
  • E. Maslianico
    Maslianico is a small municipality in the Province of Como in Lombardy, northern Italy, located near Lake Como and the Swiss border.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.