Triple

T7851406
Position Surface form Disambiguated ID Type / Status
Subject Mariana Islands E182061 entity
Predicate contains P35 FINISHED
Object Alamagan E168423 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: Alamagan | Statement: [Mariana Islands, contains, Alamagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alamagan
Context triple: [Mariana Islands, contains, Alamagan]
  • A. Alamagan chosen
    Alamagan is a small, sparsely inhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • B. Masbate Island
    Masbate Island is a large island in the central Philippines known for its cattle ranches, rolling hills, and role as the main island of Masbate Province.
  • C. Malapascua Island
    Malapascua Island is a small Philippine island in the Visayas renowned for its pristine beaches and as one of the world’s few reliable dive spots to see thresher sharks.
  • D. Alabat Island
    Alabat Island is a Philippine island in Quezon province known for its coastal communities, coconut farming, and location along Lamon Bay in the Pacific.
  • E. Satawal
    Satawal is a small, remote coral atoll in the Federated States of Micronesia renowned for its traditional non-instrument navigation and seafaring culture.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.