Triple

T15787756
Position Surface form Disambiguated ID Type / Status
Subject Aka-Bea E382780 entity
Predicate relatedTo P37 FINISHED
Object Aka-Kol E382782 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: Aka-Kol | Statement: [Aka-Bea, relatedTo, Aka-Kol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aka-Kol
Context triple: [Aka-Bea, relatedTo, Aka-Kol]
  • A. Aka-Kol chosen
    Aka-Kol is an extinct Great Andamanese language once spoken by the indigenous Kol people of the Andaman Islands in India.
  • B. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • C. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • D. Anadyr
    Anadyr is a remote Arctic port town in Russia’s Far East, situated on the Anadyr River near the Bering Sea and serving as the main administrative, economic, and cultural center of the surrounding region.
  • E. Khatanga
    Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12d6f388190b61cdc7820ce6311 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.