Triple

T16955063
Position Surface form Disambiguated ID Type / Status
Subject Maʻopūtasi County E411277 entity
Predicate contains P35 FINISHED
Object Fagatogo E79486 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: Fagatogo | Statement: [Maʻopūtasi County, contains, Fagatogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fagatogo
Context triple: [Maʻopūtasi County, contains, Fagatogo]
  • A. Fagatogo chosen
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • B. Higaonon
    The Higaonon are an Indigenous Lumad group in Mindanao, Philippines, known for their upland farming, rich oral traditions, and strong customary laws tied to ancestral forest territories.
  • C. Fagifulae
    Fagifulae was an ancient settlement located in the Roman region of Samnium in central Italy.
  • D. Safotu
    Safotu is a coastal village on the island of Savaiʻi in Samoa, known for its traditional Samoan culture and scenic beaches.
  • E. Samaro
    Samaro is a town in Pakistan’s Sindh province, situated within the Umerkot District.
  • 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.