Triple

T4571333
Position Surface form Disambiguated ID Type / Status
Subject Hofvijver E123035 entity
Predicate hasViewOf P854 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: [Hofvijver, hasViewOf, Torentje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torentje
Context triple: [Hofvijver, hasViewOf, Torentje]
  • A. Torentje chosen
    Torentje is the small historic tower in The Hague that serves as the Dutch Prime Minister’s official office.
  • B. Teuge
    Teuge is a village in the Netherlands known for its small international airport and skydiving activities.
  • C. 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.
  • D. Hampoort
    Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
  • E. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c5afa48190bb8505e2cc16e89f completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3cf5e10819099b2927c6f571673 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.