Triple

T8091105
Position Surface form Disambiguated ID Type / Status
Subject Papendrecht E188862 entity
Predicate hasTwinTown P919 FINISHED
Object Blomberg E42660 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: Blomberg | Statement: [Papendrecht, hasTwinTown, Blomberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blomberg
Context triple: [Papendrecht, hasTwinTown, Blomberg]
  • A. Blomberg chosen
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • B. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • C. Tikkurila
    Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
  • D. Iittala
    Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421fb8348190b6495394d498d3f4 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.