Triple

T6887411
Position Surface form Disambiguated ID Type / Status
Subject Grave E158956 entity
Predicate hasLandmark P105 FINISHED
Object Hampoort (city gate) E20679 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: Hampoort (city gate) | Statement: [Grave, hasLandmark, Hampoort (city gate)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampoort (city gate)
Context triple: [Grave, hasLandmark, Hampoort (city gate)]
  • A. Hampoort city gate chosen
    Hampoort city gate is a historic town gate in Grave, Netherlands, notable as a remnant of the city’s former fortifications.
  • B. Koepoort city gate
    Koepoort city gate is a historic fortified entrance of the Dutch city of Middelburg, notable for its architectural and cultural heritage.
  • C. Burgtor
    Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
  • D. Bolwerk city ramparts
    The Bolwerk city ramparts are the historic defensive earthworks and fortifications surrounding the Frisian town of Franeker in the Netherlands.
  • E. Erer Gate
    Erer Gate is one of the historic gateways in the ancient walled city of Harar Jugol in eastern Ethiopia.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90e92488190b738676342ac6393 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742e249508190ac95be97c0409d4a completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.