Triple

T5849535
Position Surface form Disambiguated ID Type / Status
Subject Koningsplein E129993 entity
Predicate hasNearby P350 FINISHED
Object Singel E3947 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: Singel | Statement: [Koningsplein, hasNearby, Singel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singel
Context triple: [Koningsplein, hasNearby, Singel]
  • A. Singel chosen
    Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
  • B. Singles
    Singles is a 1992 romantic comedy-drama film set in Seattle that follows the intertwined love lives of young adults amid the early 1990s grunge music scene.
  • C. Song
    Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
  • D. Singen
    Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
  • E. The Sing
    "The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b052288190ace51e65f1d888ab completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.