Triple

T16254445
Position Surface form Disambiguated ID Type / Status
Subject Camorta E394592 entity
Predicate hasNearbyIsland P970 FINISHED
Object Bompoka E401978 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: Bompoka | Statement: [Camorta, hasNearbyIsland, Bompoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bompoka
Context triple: [Camorta, hasNearbyIsland, Bompoka]
  • A. Bompoka chosen
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • B. Bokod
    Bokod is a rural municipality in the mountainous province of Benguet in the Philippines, known for its cool climate, scenic landscapes, and agricultural communities.
  • C. Sarakole
    Sarakole is another name for the Soninke, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
  • D. Bosha
    Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
  • E. Bokaa
    Bokaa is a village in Botswana located within the Kgatleng District, known for its proximity to the Bokaa Dam.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24599861881908b9235f005d80a96 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.