Triple

T10117898
Position Surface form Disambiguated ID Type / Status
Subject Mont des Arts E223208 entity
Predicate near P350 FINISHED
Object Sablon district E224636 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: Sablon district | Statement: [Mont des Arts, near, Sablon district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sablon district
Context triple: [Mont des Arts, near, Sablon district]
  • A. Sablon district chosen
    The Sablon district is a historic and upscale neighborhood in central Brussels, known for its antique shops, art galleries, chocolatiers, and elegant squares.
  • B. Sarine district
    Sarine district is an administrative district in the canton of Fribourg in western Switzerland, centered around the city of Fribourg and encompassing surrounding municipalities.
  • C. Badrashin district
    Badrashin district is an administrative region in Giza Governorate, Egypt, known for encompassing several important archaeological and historical sites near ancient Memphis.
  • D. Qabala District
    Qabala District is an administrative region in northern Azerbaijan known for its mountainous landscapes, historical sites, and role as a popular tourist destination.
  • E. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26317948190901197adbac01ed3 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc350310819096cca4cc251e3428 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:04 p.m.