Triple

T2976783
Position Surface form Disambiguated ID Type / Status
Subject European Quarter E80416 entity
Predicate contains P35 FINISHED
Object Luxembourg Square E152598 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: Luxembourg Square | Statement: [European Quarter, contains, Luxembourg Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxembourg Square
Context triple: [European Quarter, contains, Luxembourg Square]
  • A. Luxembourg Square chosen
    Luxembourg Square is a prominent public square in Brussels, Belgium, known for its location in the European Quarter opposite the European Parliament and its lively cafés and terraces.
  • B. Princess Square
    Princess Square is a central shopping centre in Bracknell, England, featuring a range of retail stores and services.
  • C. Princes Square
    Princes Square is an upmarket shopping and dining complex in Glasgow city centre, known for its stylish boutiques, restaurants, and distinctive interior design.
  • D. Spianada Square
    Spianada Square is a large central public square in Corfu, Greece, known for its open green space, historic surroundings, and role as a focal point of the island’s social and cultural life.
  • E. Palace Square
    Palace Square is the grand central square of St. Petersburg, Russia, known for its historic role in imperial ceremonies and revolutionary events and for being framed by the Winter Palace and the General Staff Building.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998c589c8190b4530f3fb8975187 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de9657648190a7f0309065f80728 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:58 p.m.