Triple

T8109746
Position Surface form Disambiguated ID Type / Status
Subject Het Torentje E189318 entity
Predicate adjacentTo P224 FINISHED
Object Binnenhof courtyard E15047 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: Binnenhof courtyard | Statement: [Het Torentje, adjacentTo, Binnenhof courtyard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenhof courtyard
Context triple: [Het Torentje, adjacentTo, Binnenhof courtyard]
  • A. Binnenhof chosen
    Binnenhof is a historic complex of buildings in The Hague that serves as the political heart of the Netherlands, housing key institutions of the national government.
  • B. Noordeinde Palace
    Noordeinde Palace is one of the three official palaces of the Dutch royal family, serving primarily as the working palace of the King of the Netherlands in The Hague.
  • C. Vredenburg square
    Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
  • D. Kneuterdijk Palace
    Kneuterdijk Palace is a historic royal palace in The Hague, Netherlands, long associated with the Dutch royal family and notable residents such as Anna Pavlovna of Russia.
  • E. Spui square
    Spui square is a central public square in Amsterdam known for its book markets, cultural venues, and proximity to historic sites like the Begijnhof.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced062f3881908560b657c096c92e completed April 1, 2026, 10:01 a.m.
Created at: March 30, 2026, 5:32 p.m.