Triple

T8934204
Position Surface form Disambiguated ID Type / Status
Subject Pipiwai Stream E212735 entity
Predicate hasIsland P970 FINISHED
Object Maui E15811 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: Maui | Statement: [Pipiwai Stream, hasIsland, Maui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maui
Context triple: [Pipiwai Stream, hasIsland, Maui]
  • A. Maui chosen
    Maui is a major Hawaiian island renowned for its scenic beaches, volcanic landscapes, and rich native Hawaiian culture.
  • B. Lānaʻi
    Lānaʻi is one of the smaller inhabited Hawaiian Islands, known for its quiet, rural character and luxury resort tourism.
  • C. Molokaʻi
    Molokaʻi is one of the major Hawaiian Islands, known for its relatively undeveloped landscape, strong Native Hawaiian culture, and dramatic sea cliffs.
  • D. Oahu
    Oahu is a major Hawaiian island known for its capital city Honolulu, iconic Waikiki Beach, and significant World War II history.
  • E. Big Island
    Big Island is the English name for Nosy Be, a popular island off Madagascar’s northwest coast known for its beaches, marine life, and tourism.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc669138b48190a6bb4968f029a69e completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fa2958881908575b7b1e9b40a5e completed April 3, 2026, 9:22 p.m.
Created at: March 30, 2026, 6:57 p.m.