Triple

T1025082
Position Surface form Disambiguated ID Type / Status
Subject Mariana Island Arc E22121 entity
Predicate contains P35 FINISHED
Object Sarigan E64147 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: Sarigan | Statement: [Mariana Island Arc, contains, Sarigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarigan
Context triple: [Mariana Island Arc, contains, Sarigan]
  • A. Sarigan chosen
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • B. Calabarzon
    Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
  • C. Kitchawan
    Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
  • D. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • E. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f4c66c8190b6098fb72c1465a3 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bba40f88190b80010a837dfb1cc completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.