Triple

T22731762
Position Surface form Disambiguated ID Type / Status
Subject Lake Van region E562149 entity
Predicate tourismAttraction P530 FINISHED
Object Akdamar Island E721127 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: Akdamar Island | Statement: [Lake Van region, tourismAttraction, Akdamar Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akdamar Island
Context triple: [Lake Van region, tourismAttraction, Akdamar Island]
  • A. Akdamar Island chosen
    Akdamar Island is a small, historically significant island in eastern Turkey best known for its medieval Armenian Holy Cross Church and scenic setting in Lake Van.
  • B. Tarut Island
    Tarut Island is a historically significant island in the Persian Gulf off the eastern coast of Saudi Arabia, known for its ancient settlements and role in regional maritime trade.
  • C. Qushan Island
    Qushan Island is one of the principal inhabited islands within China’s Zhoushan Archipelago, known for its coastal scenery and maritime activities.
  • D. Orsay Island
    Orsay Island is a small, uninhabited island off the southwest coast of Islay in Scotland, known for its historic lighthouse and rugged coastal scenery.
  • E. Kameny Island
    Kameny Island is a small, historically prestigious island in Saint Petersburg, Russia, known for its parks, dachas, and elite residential areas.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792de040819093aa904bf751a788 completed April 29, 2026, 3:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e84691c8190acaf435ec6798c45 completed May 18, 2026, 11:19 p.m.
Created at: April 17, 2026, 3:21 p.m.