Triple

T13383787
Position Surface form Disambiguated ID Type / Status
Subject Tualauta County E319384 entity
Predicate locatedIn P40 FINISHED
Object Tutuila E17220 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: Tutuila | Statement: [Tualauta County, locatedIn, Tutuila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tutuila
Context triple: [Tualauta County, locatedIn, Tutuila]
  • A. Tutuila chosen
    Tutuila is the largest and most populous island of American Samoa, serving as its main political and economic center.
  • B. Nuku Hiva
    Nuku Hiva is the largest and one of the most remote islands in French Polynesia’s Marquesas archipelago, known for its dramatic volcanic landscapes and rich Polynesian culture.
  • C. ʻAlau Island
    ʻAlau Island is a small offshore islet near Hāna on Maui, Hawaii, known for its picturesque scenery and as a nesting site for seabirds.
  • D. Kafoa
    Kafoa is a lesser-known Papuan language spoken on the Alor archipelago in eastern Indonesia, belonging to the Alor–Pantar language family.
  • E. Molokaʻi
    Molokaʻi is one of the major Hawaiian Islands, known for its relatively undeveloped landscape, strong Native Hawaiian culture, and dramatic sea cliffs.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73981816881908aac3ab6b1921904 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:33 p.m.