Triple

T2627082
Position Surface form Disambiguated ID Type / Status
Subject Pushkin, Saint Petersburg E59142 entity
Predicate hasPark P105 FINISHED
Object Catherine Park E66674 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: Catherine Park | Statement: [Pushkin, Saint Petersburg, hasPark, Catherine Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Park
Context triple: [Pushkin, Saint Petersburg, hasPark, Catherine Park]
  • A. Catherine Park chosen
    Catherine Park is a historic landscaped park in Tsarskoye Selo, Russia, renowned for its ornamental gardens, pavilions, and integration with the nearby Catherine Palace.
  • B. Ariana Park
    Ariana Park is a large lakeside park in Geneva, Switzerland, best known as the landscaped grounds surrounding the United Nations' Palais des Nations.
  • C. Hanna Park
    Hanna Park is a public recreational park located in Shelby, North Carolina.
  • D. Ella Park
    Ella Park is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • E. Kimberly Park
    Kimberly Park is a public recreational park located in West Liberty, Iowa.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b3f72c819085e88f1d74495593 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b71950819084432017b9d8dc20 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.