Triple

T6410741
Position Surface form Disambiguated ID Type / Status
Subject Fort Christina E127697 entity
Predicate replacedBy P101 FINISHED
Object Fort Altena E274468 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: Fort Altena | Statement: [Fort Christina, replacedBy, Fort Altena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Altena
Context triple: [Fort Christina, replacedBy, Fort Altena]
  • A. Fort Hackenberg
    Fort Hackenberg is a massive French fortification complex in northeastern France that served as one of the largest and most important strongpoints of the Maginot Line.
  • B. Fort Batenstein chosen
    Fort Batenstein is a historic European-built coastal fort in Ghana that formed part of the former Gold Coast’s network of trading and defensive outposts.
  • C. Fort Kobbe
    Fort Kobbe was a former United States Army installation in the Panama Canal Zone that played a key role in the defense and administration of the canal area during much of the 20th century.
  • D. Fort Targowski
    Fort Targowski is an architectural studio known for co-designing the European Solidarity Centre in Gdańsk, Poland.
  • E. Fort Roupel
    Fort Roupel is a historic Greek military fortification near the Bulgarian border, known for its strategic role and fierce resistance during World War II.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cf81508190bc09e58ec45bc858 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b7582481909640965acf261dff completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.