Triple

T3480700
Position Surface form Disambiguated ID Type / Status
Subject Ministry of General Affairs of the Netherlands E73482 entity
Predicate usesBuilding P1267 FINISHED
Object Torentje E36378 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: Torentje | Statement: [Ministry of General Affairs of the Netherlands, usesBuilding, Torentje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torentje
Context triple: [Ministry of General Affairs of the Netherlands, usesBuilding, Torentje]
  • A. Torentje chosen
    Torentje is the small historic tower in The Hague that serves as the Dutch Prime Minister’s official office.
  • B. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • C. Hampoort
    Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
  • D. Lesje
    Lesje is a central character in Margaret Atwood's novel "Life Before Man," portrayed as a paleontologist navigating complex personal relationships and questions of identity.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb75850c8190ad02cf2bde8be8a7 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.