Triple

T3191912
Position Surface form Disambiguated ID Type / Status
Subject Massandra E66841 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Yalta resort zone E179735 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: Yalta resort zone | Statement: [Massandra, hasNearbyAttraction, Yalta resort zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yalta resort zone
Context triple: [Massandra, hasNearbyAttraction, Yalta resort zone]
  • A. White Beach
    White Beach is a small coastal beach in the town of Manchester-by-the-Sea, Massachusetts, known for its scenic shoreline and tranquil atmosphere.
  • B. Petergof
    Petergof is a historic Russian town near Saint Petersburg, renowned for its grand imperial palaces, elaborate fountains, and landscaped parks along the Gulf of Finland.
  • C. Yessentuki
    Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
  • D. Tsarskoye Selo
    Tsarskoye Selo is a former imperial residence near Saint Petersburg, Russia, famed for its opulent palaces, landscaped parks, and role as a cultural and historical center of the Russian Empire.
  • E. Yalta city center chosen
    Yalta city center is the main urban and tourist hub of Yalta, featuring historic architecture, commercial streets, and access to the city’s popular seaside promenade.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262126fa08190b7dd620159e3ed96 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:07 p.m.