Triple

T7440909
Position Surface form Disambiguated ID Type / Status
Subject Vladimir-Suzdal E171748 entity
Predicate hasPart P35 FINISHED
Object Pereslavl-Zalessky E174703 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: Pereslavl-Zalessky | Statement: [Vladimir-Suzdal, hasPart, Pereslavl-Zalessky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pereslavl-Zalessky
Context triple: [Vladimir-Suzdal, hasPart, Pereslavl-Zalessky]
  • A. Pereslavl-Zalessky chosen
    Pereslavl-Zalessky is an ancient Russian town in the Yaroslavl Oblast, known for its medieval architecture and role as a historic center of the Vladimir-Suzdal principality.
  • B. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • C. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • D. Yuryev-Polsky
    Yuryev-Polsky is a historic small town in central Russia known for its ancient white-stone churches and traditional Russian architecture.
  • E. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34d84008190936af2b3670ef210 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a712fdc8190998d9a05dc73f40c completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:13 p.m.