Triple

T22254835
Position Surface form Disambiguated ID Type / Status
Subject Ilava E550070 entity
Predicate hasLandmark P105 FINISHED
Object Ilava fortress 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: Ilava fortress | Statement: [Ilava, hasLandmark, Ilava fortress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilava fortress
Context triple: [Ilava, hasLandmark, Ilava fortress]
  • A. Ilava fortress chosen
    Ilava fortress is a historic fortification in Ilava, Slovakia, known for its long-standing role as a military stronghold and later as a prison.
  • B. Jilava Fortress
    Jilava Fortress is a historic military fortification near Bucharest, Romania, best known for its later use as a notorious political prison during the 20th century.
  • C. Schlossberg fortress
    Schlossberg fortress is a historic hilltop stronghold in Graz, Austria, known for its strategic defensive role and surviving landmarks such as the clock tower and bell tower.
  • D. Munot fortress
    Munot fortress is a 16th-century circular hilltop fortification overlooking the Swiss town of Schaffhausen, known as the city’s iconic symbol and historic landmark.
  • E. Leme Fortress
    Leme Fortress is a historic coastal fortification in Rio de Janeiro, Brazil, overlooking Leme Beach and the entrance to Guanabara Bay.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c1d70881908df47b0f818c0022 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.