Triple

T16536109
Position Surface form Disambiguated ID Type / Status
Subject Ursynów E401694 entity
Predicate contains P35 FINISHED
Object Natolin E836917 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: Natolin | Statement: [Ursynów, contains, Natolin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natolin
Context triple: [Ursynów, contains, Natolin]
  • A. Natolin chosen
    Natolin is a district in Warsaw, Poland, known for hosting one of the two campuses of the College of Europe, specializing in European studies.
  • B. Tykocin
    Tykocin is a historic town in northeastern Poland known for its well-preserved Jewish heritage, baroque architecture, and role in Polish royal and noble history.
  • C. Wilnis
    Wilnis is a village in the Dutch province of Utrecht, known for its rural character and location within the municipality of De Ronde Venen.
  • D. Latimore
    Latimore is a surname most notably associated with American actor and R&B singer Jacob Latimore.
  • E. Dolo
    Dolo is an Italian stream that serves as a tributary of the Secchia River in northern Italy.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.