Triple

T18471243
Position Surface form Disambiguated ID Type / Status
Subject Strunjan E451305 entity
Predicate hasAttraction P105 FINISHED
Object Strunjan Cliff NE NERFINISHED

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: Strunjan Cliff | Statement: [Strunjan, hasAttraction, Strunjan Cliff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strunjan Cliff
Context triple: [Strunjan, hasAttraction, Strunjan Cliff]
  • A. Strunjan chosen
    Strunjan is a coastal settlement and nature reserve area in southwestern Slovenia, known for its scenic cliffs, salt pans, and Mediterranean landscape near the town of Piran.
  • B. Trebjesa
    Trebjesa is a small mountain and forested hill area near the city of Nikšić in Montenegro, known for its recreational trails and scenic views.
  • C. Los Dinamos cliffs
    Los Dinamos cliffs are a popular rock climbing area within Mexico City’s Parque Nacional Los Dinamos, known for their rugged volcanic walls and natural forested surroundings.
  • D. Chudomir Cove
    Chudomir Cove is a coastal inlet located on Trinity Peninsula at the northern end of the Antarctic Peninsula.
  • E. Orłowo Cliff
    Orłowo Cliff is a picturesque, steep sea cliff on the Baltic coast of Gdynia, Poland, known for its dramatic erosion-formed landscape and scenic views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5305f428c81909980bd30d150e7dd completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.