Triple

T4307382
Position Surface form Disambiguated ID Type / Status
Subject FET E93987 entity
Predicate usedInCountry P715 FINISHED
Object Moldova E25071 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: Moldova | Statement: [FET, usedInCountry, Moldova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moldova
Context triple: [FET, usedInCountry, Moldova]
  • A. Moldova chosen
    Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
  • B. Romania and Moldova
    Romania and Moldova are neighboring Eastern European countries that share deep historical, cultural, and linguistic ties, with much of Moldova’s territory having once formed part of historical Romanian lands.
  • C. Transnistria
    Transnistria is a breakaway, internationally unrecognized territory along Moldova’s eastern border, known for its Soviet-style political system, Russian military presence, and ethnically mixed population.
  • D. Ukraine and Moldova
    Ukraine and Moldova are neighboring Eastern European countries that share historical, cultural, and economic ties as well as a long land border.
  • E. Romania
    Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350bb78cc8190a850aca47d8711cf completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db8e40f0819082a15006a1578405 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:11 p.m.