Triple

T5266802
Position Surface form Disambiguated ID Type / Status
Subject Blue Planet II E118956 entity
Predicate hasPart P35 FINISHED
Object The Deep E101644 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: The Deep | Statement: [Blue Planet II, hasPart, The Deep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Deep
Context triple: [Blue Planet II, hasPart, The Deep]
  • A. The Deep
    The Deep is a 1976 adventure novel by Peter Benchley that follows a young couple who discover dangerous secrets and sunken treasure while diving near Bermuda.
  • B. The Deep
    The Deep is a science fiction novella by Rivers Solomon that explores memory, trauma, and identity through the story of an underwater society descended from African women thrown overboard during the transatlantic slave trade.
  • C. The Deep chosen
    The Deep is a striking futuristic aquarium and marine research center in Kingston upon Hull, England, known for its dramatic architecture and extensive collection of marine life.
  • D. Sirena Deep
    Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
  • E. Calypso Deep
    Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfabf9c819098f961243c31e508 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.