Triple

T15234525
Position Surface form Disambiguated ID Type / Status
Subject Principality of Chernigov E364089 entity
Predicate dynasty P1547 FINISHED
Object Olgovichi E70768 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: Olgovichi | Statement: [Principality of Chernigov, dynasty, Olgovichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olgovichi
Context triple: [Principality of Chernigov, dynasty, Olgovichi]
  • A. Olgovichi chosen
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • B. Ogiek
    The Ogiek are an indigenous, forest-dwelling community of Kenya known for their traditional hunter-gatherer lifestyle and deep cultural connection to the Mau Forest.
  • C. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • D. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • E. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d91e4881908ea52d11a3d4480a completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.