Triple

T19459414
Position Surface form Disambiguated ID Type / Status
Subject Eiao E486826 entity
Predicate hasNearbyIsland P970 FINISHED
Object Hatutu NE NERFINISHED

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: Hatutu | Statement: [Eiao, hasNearbyIsland, Hatutu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatutu
Context triple: [Eiao, hasNearbyIsland, Hatutu]
  • A. Hatutu chosen
    Hatutu is an uninhabited, rugged volcanic island in the northern Marquesas Islands of French Polynesia, noted for its important seabird nesting colonies and protected status as a nature reserve.
  • B. Tahawus
    Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
  • C. Hamazi
    Hamazi was an ancient Mesopotamian city-state, likely located in the Zagros foothills, known from early Sumerian sources as a rival power in the region.
  • D. Hatut Zeraze
    Hatut Zeraze is a covert Wakandan secret police and elite strike force often associated with Black Panther in Marvel Comics.
  • E. Harareet
    Harareet is the surname of Haya Harareet, an Israeli actress best known for her role as Esther in the 1959 film "Ben-Hur."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c6c55c8190965ada884f17c800 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.