Triple

T11593487
Position Surface form Disambiguated ID Type / Status
Subject Utrecht–Gouda railway E274941 entity
Predicate connectsUrbanArea P2564 FINISHED
Object city of Utrecht E288888 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: city of Utrecht | Statement: [Utrecht–Gouda railway, connectsUrbanArea, city of Utrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Utrecht
Context triple: [Utrecht–Gouda railway, connectsUrbanArea, city of Utrecht]
  • A. Utrecht
    Utrecht is a historic city and province in the central Netherlands, known for its medieval old town, canals, and role as a religious and cultural center.
  • B. New Utrecht
    New Utrecht is a historic neighborhood in the southwestern part of Brooklyn, New York City, originally founded as a Dutch town in the 17th century.
  • C. Utrecht, Netherlands chosen
    Utrecht is a historic Dutch city known for its medieval old town, prominent religious and educational institutions, and role as a major cultural and economic center in the Netherlands.
  • D. Haarlem
    Haarlem is a historic Dutch city in the province of North Holland, known for its medieval architecture, cultural heritage, and role as a regional center near Amsterdam.
  • E. Rotterdam
    Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7146fdd8c8190a54f3290e155e900 completed April 21, 2026, 6:08 a.m.
Created at: April 8, 2026, 9:38 p.m.