Triple

T9523137
Position Surface form Disambiguated ID Type / Status
Subject Rue Royale E229693 entity
Predicate hasNameInDutch P13254 FINISHED
Object Koningsstraat E419808 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: Koningsstraat | Statement: [Rue Royale, hasNameInDutch, Koningsstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koningsstraat
Context triple: [Rue Royale, hasNameInDutch, Koningsstraat]
  • A. Koningsstraat chosen
    Koningsstraat is a major central street in Brussels, Belgium, known for its straight, ceremonial layout and its role connecting key royal and administrative landmarks.
  • B. Kalverstraat
    Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
  • C. Schupstraat
    Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
  • D. Servetstraat
    Servetstraat is a small historic street located near Dom Square in the center of Utrecht, Netherlands.
  • E. Paleisstraat
    Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a61fbd08190bb68ffe29da3a34a completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.