Triple

T16955068
Position Surface form Disambiguated ID Type / Status
Subject Maʻopūtasi County E411277 entity
Predicate contains P35 FINISHED
Object Lauliʻi E441593 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: Lauliʻi | Statement: [Maʻopūtasi County, contains, Lauliʻi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauliʻi
Context triple: [Maʻopūtasi County, contains, Lauliʻi]
  • A. Lauliʻi chosen
    Lauliʻi is a coastal village in the Eastern District of American Samoa known for its traditional Samoan community and scenic island setting.
  • B. Hulaula
    Hulaula is a modern Northeastern Neo-Aramaic language traditionally spoken by Jewish communities from Iranian Kurdistan.
  • C. Nuʻuuli
    Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
  • D. Nuʻutele
    Nuʻutele is a small, uninhabited volcanic islet in American Samoa known for its steep cliffs, seabird colonies, and protected natural environment.
  • E. Lalomanu
    Lalomanu is a coastal village and popular beach destination on the eastern end of Upolu island in Samoa, known for its white-sand beaches and clear lagoon.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d464762c8190a734ffdd83633f70 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.