Triple

T11803046
Position Surface form Disambiguated ID Type / Status
Subject Battle of Jemmingen E280675 entity
Predicate location P40 FINISHED
Object Jemgum E666412 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: Jemgum | Statement: [Battle of Jemmingen, location, Jemgum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jemgum
Context triple: [Battle of Jemmingen, location, Jemgum]
  • A. Jemgum chosen
    Jemgum is a small municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its rural landscape along the Ems River.
  • B. Junggumun
    Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
  • C. Gimje
    Gimje is a city in North Jeolla Province, South Korea, known for its expansive plains and agricultural production, particularly rice.
  • D. Jangsaengpo
    Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
  • E. Munji
    Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.