Triple

T15756696
Position Surface form Disambiguated ID Type / Status
Subject Trubizh River E381984 entity
Predicate flowsThrough P225 FINISHED
Object Pereiaslav E81575 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: Pereiaslav | Statement: [Trubizh River, flowsThrough, Pereiaslav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pereiaslav
Context triple: [Trubizh River, flowsThrough, Pereiaslav]
  • A. Pereiaslav chosen
    Pereiaslav is a historic town in central Ukraine known for its rich cultural heritage and associations with notable figures of Yiddish and Ukrainian literature.
  • B. Pereyaslavka
    Pereyaslavka is a rural locality in Khabarovsk Krai, Russia, serving as the main settlement and hub for local governance and services in its surrounding area.
  • C. Kamenets-Podolsk
    Kamenets-Podolsk is a historic city in western Ukraine that became the site of one of the earliest and largest mass shootings of Jews during the Holocaust.
  • D. Katerynopil
    Katerynopil is an urban-type settlement in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • E. Poltava
    Poltava is a historic city in central Ukraine known for its cultural heritage, role in Ukrainian history, and commemorations of national tragedies such as the Holodomor.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.