Triple

T19719213
Position Surface form Disambiguated ID Type / Status
Subject German Togoland campaign E473558 entity
Predicate location P40 FINISHED
Object Togoland NE NERFINISHED

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: Togoland | Statement: [German Togoland campaign, location, Togoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Togoland
Context triple: [German Togoland campaign, location, Togoland]
  • A. Togoland region chosen
    The Togoland region was a former German colonial territory in West Africa that later became divided between modern-day Ghana and Togo.
  • B. Togo
    Togo is a 2019 historical adventure drama film that tells the true story of a sled dog and his musher leading a perilous serum run across Alaska.
  • C. Togo
    Togo is a small West African country on the Gulf of Guinea, known for its diverse cultures, coastal capital Lomé, and history as a former French colony.
  • D. Togo
    Togo is a small village in eastern Saskatchewan, Canada, known for its rural prairie setting and agricultural community.
  • E. Equatorial Guinea
    Equatorial Guinea is a small Central African country on the Atlantic coast, known for its significant oil reserves and unique status as the only African nation where Spanish is an official language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440f9dd88190bd15cf00f739dfb4 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.