Triple

T15501754
Position Surface form Disambiguated ID Type / Status
Subject Stelling van Amsterdam E378973 entity
Predicate hasComponent P35 FINISHED
Object Fort bij Pampus E177452 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 bij Pampus | Statement: [Stelling van Amsterdam, hasComponent, Fort bij Pampus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort bij Pampus
Context triple: [Stelling van Amsterdam, hasComponent, Fort bij Pampus]
  • A. Fort Pampus chosen
    Fort Pampus is a 19th-century artificial island fortress in the IJmeer near Amsterdam, built as part of the Dutch Defence Line and now a historic museum and UNESCO World Heritage site.
  • B. Palmiry
    Palmiry is a village in central Poland known as a site of mass executions carried out by Nazi Germany during World War II.
  • C. Ambilliens
    Ambilliens are the inhabitants or natives of Ambilly, a commune in eastern France near the Swiss border.
  • D. Bostra
    Bostra is the ancient Roman-era name for the city of Bosra, a historically significant urban center in southern Syria known for its well-preserved ruins and role as a provincial capital.
  • E. Paddepoel
    Paddepoel is a residential neighborhood in the city of Groningen in the Netherlands, known for its post-war housing and proximity to the University of Groningen.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcc5bb88190b8a9a81419a9a38b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.