Triple

T6046000
Position Surface form Disambiguated ID Type / Status
Subject Kalaloch E134667 entity
Predicate near P350 FINISHED
Object Ruby Beach E75915 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: Ruby Beach | Statement: [Kalaloch, near, Ruby Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby Beach
Context triple: [Kalaloch, near, Ruby Beach]
  • A. Ruby Beach chosen
    Ruby Beach is a rugged, driftwood-strewn Pacific Ocean shoreline in Washington State known for its sea stacks, tide pools, and dramatic coastal scenery.
  • B. Valtos Beach
    Valtos Beach is a popular sandy and pebbly seaside destination near Parga in northwestern Greece, known for its clear waters and scenic coastal landscape.
  • C. Apella Beach
    Apella Beach is a renowned picturesque beach on the Greek island of Karpathos, famous for its turquoise waters, white pebbles, and dramatic surrounding cliffs.
  • D. Carmel Beach
    Carmel Beach is a popular Mediterranean seaside area in Haifa, Israel, known for its sandy shoreline, promenades, and recreational facilities.
  • E. Park Beach
    Park Beach is a popular surf and swimming beach in Coffs Harbour on the New South Wales mid-north coast of Australia.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e53f508190864be04bc016c525 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14149f97081908d57c21652097ad3 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:09 p.m.