Triple

T4092007
Position Surface form Disambiguated ID Type / Status
Subject Laisvės alėja E87723 entity
Predicate isMajorAxisOf P164 FINISHED
Object Kaunas downtown E406203 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: Kaunas downtown | Statement: [Laisvės alėja, isMajorAxisOf, Kaunas downtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaunas downtown
Context triple: [Laisvės alėja, isMajorAxisOf, Kaunas downtown]
  • A. Kaunas Old Town chosen
    Kaunas Old Town is the historic center of Kaunas, Lithuania, known for its medieval architecture, cobblestone streets, and well-preserved cultural landmarks.
  • B. Kaunas
    Kaunas is the second-largest city in Lithuania, known as a historic cultural and academic center located at the confluence of the Nemunas and Neris rivers.
  • C. Klaipėda
    Klaipėda is a Lithuanian port city on the Baltic Sea known as the country’s main maritime gateway and a key regional transport and industrial hub.
  • D. Kaunas District Municipality
    Kaunas District Municipality is an administrative region in central Lithuania that surrounds the city of Kaunas and includes numerous suburban and rural communities.
  • E. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcae22a081908af65a960306b78c completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b25d00481909eaf22c7c797c3f1 completed March 15, 2026, 8:17 a.m.
Created at: March 9, 2026, 3:40 p.m.