Triple

T1233756
Position Surface form Disambiguated ID Type / Status
Subject Mauritshuis E26501 entity
Predicate locatedIn P40 FINISHED
Object Binnenhof area 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 area | Statement: [Mauritshuis, locatedIn, Binnenhof area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenhof area
Context triple: [Mauritshuis, locatedIn, Binnenhof area]
  • 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. Molengracht canal area
    The Molengracht canal area is a Dutch-inspired canal and plaza development in downtown Pella, Iowa, featuring shops, restaurants, and public gathering spaces that reflect the town’s Dutch heritage.
  • C. Binnenstad
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • D. 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.
  • E. Nollendorfplatz area
    The Nollendorfplatz area is a lively Berlin neighborhood known for its historic square, vibrant LGBTQ+ scene, and mix of nightlife, cafés, and cultural venues.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a16badc8190b5b603db0ca738cb completed March 7, 2026, 8:27 p.m.
Created at: March 1, 2026, 7:47 p.m.