Triple

T736534
Position Surface form Disambiguated ID Type / Status
Subject Kaunas E14945 entity
Predicate timeZone P109 FINISHED
Object EET E29392 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: EET | Statement: [Kaunas, timeZone, EET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EET
Context triple: [Kaunas, timeZone, EET]
  • A. EET chosen
    EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
  • B. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • C. ETO
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • D. EEC
    The EEC was a regional organization founded in 1957 to foster economic integration among its European member states and is a key precursor to the modern European Union.
  • E. EEC
    EEC is the Massachusetts state agency responsible for overseeing early education and child care programs, licensing providers, and supporting young children’s development and learning.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5da30b88190afbd12ae6109cc1b completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a618c248190ab1bcecba04d3da8 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.