Triple

T10083156
Position Surface form Disambiguated ID Type / Status
Subject Cherkasy Oblast E213950 entity
Predicate hasCityStatus P3422 FINISHED
Object Talne E841411 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: Talne | Statement: [Cherkasy Oblast, hasCityStatus, Talne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talne
Context triple: [Cherkasy Oblast, hasCityStatus, Talne]
  • A. Talne chosen
    Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
  • B. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • C. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • D. Tafna
    Tafna is a town in northwestern Algeria known historically as the site where the 1837 Treaty of Tafna was signed between French colonial authorities and Emir Abdelkader.
  • E. Talge
    Talge is an island that forms part of the Finnøy archipelago in Norway.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbcc82988190903efb78d0a4ce81 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 9 p.m.