Triple

T6997686
Position Surface form Disambiguated ID Type / Status
Subject Missouri wine region E162258 entity
Predicate hasCityCenter P2106 FINISHED
Object Hermann, Missouri E508723 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: Hermann, Missouri | Statement: [Missouri wine region, hasCityCenter, Hermann, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann, Missouri
Context triple: [Missouri wine region, hasCityCenter, Hermann, Missouri]
  • A. Hermann, Missouri chosen
    Hermann, Missouri is a historic small town in the Missouri Rhineland known for its German heritage, wineries, and scenic location along the Missouri River.
  • B. New London, Missouri
    New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • C. Hopkins, Missouri
    Hopkins, Missouri is a small rural city located in Nodaway County in the northwest region of the state near the Iowa border.
  • D. Horton, Missouri
    Horton, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • E. Emma, Missouri
    Emma, Missouri is a small rural city located in western Missouri within the Kansas City metropolitan area.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8705bf9bc8190aabc53f636c77995 completed March 29, 2026, 12:20 a.m.
Created at: March 27, 2026, 2:33 p.m.