Triple

T15784367
Position Surface form Disambiguated ID Type / Status
Subject Mako E382697 entity
Predicate parkSection P5641 FINISHED
Object Sea of Mystery E383994 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: Sea of Mystery | Statement: [Mako, parkSection, Sea of Mystery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea of Mystery
Context triple: [Mako, parkSection, Sea of Mystery]
  • A. Sea of Mystery chosen
    Sea of Mystery is a themed area within the SeaWorld Orlando marine park, featuring ocean-inspired attractions and experiences.
  • B. The Mystery of the Sea
    The Mystery of the Sea is an 1890s adventure and supernatural novel by Bram Stoker that blends romance, political intrigue, and occult themes set largely on the coast of Scotland.
  • C. Night Sea
    "Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
  • D. The Lost Sea
    The Lost Sea is a large underground lake and tourist attraction located within a vast cave system in Tennessee, USA.
  • E. The Sea Incertain
    The Sea Incertain is a component work or section within the larger project or collection titled "Upgrade & Afterlife."
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05401c4788190a31c180953433db9 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a4661481909d04bcb9f5043a6b completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.