Triple

T357185
Position Surface form Disambiguated ID Type / Status
Subject Sirena Deep E7569 entity
Predicate near P350 FINISHED
Object Guam E544 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: Guam | Statement: [Sirena Deep, near, Guam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guam
Context triple: [Sirena Deep, near, Guam]
  • A. Guam chosen
    Guam is an unincorporated U.S. island territory in the western Pacific Ocean known for its strategic military importance and Chamorro culture.
  • B. Northern Mariana Islands
    The Northern Mariana Islands is a self-governing commonwealth in political union with the United States, located in the western Pacific Ocean and known for its Micronesian culture and strategic military significance.
  • C. Yigo, Guam
    Yigo, Guam is a largely rural municipality on the northern end of Guam that hosts Andersen Air Force Base and is one of the island’s largest villages by area.
  • D. American Samoa
    American Samoa is an unincorporated U.S. island territory in the South Pacific Ocean known for its Polynesian culture, strategic location, and rugged volcanic landscapes.
  • E. Marshall Islands
    The Marshall Islands is a Pacific island nation and former U.S.-administered territory known for its scattered atolls, World War II history, and vulnerability to climate change and rising sea levels.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebaf0c9881909313f98818e7fa58 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f024b48190b7c16820d5cee198 completed March 2, 2026, 1:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.