Triple

T5353381
Position Surface form Disambiguated ID Type / Status
Subject Road to Singapore E102629 entity
Predicate hasSetting P3538 FINISHED
Object South Seas E10587 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: South Seas | Statement: [Road to Singapore, hasSetting, South Seas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Seas
Context triple: [Road to Singapore, hasSetting, South Seas]
  • A. The High Seas
    "The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
  • B. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • C. Sea of Islands
    Sea of Islands is the English translation of the name of the Aral Sea, historically a vast endorheic lake in Central Asia once known for its numerous islands.
  • D. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • E. South Pacific chosen
    The South Pacific is the vast southern portion of the Pacific Ocean, renowned for its remote island nations, coral reefs, and significant role in global climate and marine biodiversity.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.