Triple

T1851784
Position Surface form Disambiguated ID Type / Status
Subject Tsakonian E41609 entity
Predicate hasAlternativeName P39 FINISHED
Object Tsakonika E204997 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: Tsakonika | Statement: [Tsakonian, hasAlternativeName, Tsakonika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsakonika
Context triple: [Tsakonian, hasAlternativeName, Tsakonika]
  • A. Tsakonia chosen
    Tsakonia is a small mountainous region in the eastern Peloponnese of Greece known as the traditional homeland of the Tsakonian-speaking community, whose language descends from ancient Doric Greek.
  • B. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • C. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • D. Asokoro
    Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
  • E. Kolis
    The Kolis are a prominent fishing and agrarian community of western India, particularly associated with coastal and riverine 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06829b081908767b3df5524c7d4 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf4bda58819088adab01ca10254f completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.