Triple

T6441065
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam tram line 1 E138223 entity
Predicate servesDistrict P82 FINISHED
Object De Baarsjes E213892 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: De Baarsjes | Statement: [Amsterdam tram line 1, servesDistrict, De Baarsjes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Baarsjes
Context triple: [Amsterdam tram line 1, servesDistrict, De Baarsjes]
  • A. De Baarsjes chosen
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • B. Krabbendijke
    Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
  • C. Muiderkring
    Muiderkring was a 17th-century Dutch literary and artistic circle centered around P.C. Hooft and other prominent writers and intellectuals who gathered at Muiden Castle.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06968c6a88190a623da9bd3152a66 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65390257c819097706c35b3aebc8e completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:46 p.m.