Triple

T18321131
Position Surface form Disambiguated ID Type / Status
Subject Principality of Minden E438880 entity
Predicate namedAfter P63 FINISHED
Object Minden E177242 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: Minden | Statement: [Principality of Minden, namedAfter, Minden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minden
Context triple: [Principality of Minden, namedAfter, Minden]
  • A. Minden
    Minden is a small city in northwestern Louisiana known for its historic downtown, antebellum homes, and role as the seat of Webster Parish.
  • B. Minden
    Minden is a small rural town located within the Somerset Region of Queensland, Australia.
  • C. Minden chosen
    Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
  • D. Minde
    Minde is a civil parish in the municipality of Alcanena in central Portugal, known for its traditional culture and karst landscape.
  • E. Minden, Iowa
    Minden, Iowa is a small rural city located in western Iowa within Pottawattamie County.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa5a3508190a3025e71c11d79e2 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc1be4a88190af681fc9e1ff77ab completed May 13, 2026, 12:55 a.m.
Created at: April 10, 2026, 10:36 a.m.