Triple

T4150295
Position Surface form Disambiguated ID Type / Status
Subject Royal Quarter of Brussels E89885 entity
Predicate contains P35 FINISHED
Object Wetstraat E214230 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: Wetstraat | Statement: [Royal Quarter of Brussels, contains, Wetstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wetstraat
Context triple: [Royal Quarter of Brussels, contains, Wetstraat]
  • A. Wetstraat chosen
    Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
  • B. Zeestraet
    Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
  • C. Westerstraat
    Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
  • D. Vredenburgkade
    Vredenburgkade is a street in central Utrecht, Netherlands, known for hosting the major music complex TivoliVredenburg.
  • E. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0274f440819087dd58a9ce45cce5 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:43 p.m.