Triple

T3363022
Position Surface form Disambiguated ID Type / Status
Subject Grand Duchy of Moscow E70767 entity
Predicate commonName P570 FINISHED
Object Muscovy E36313 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: Muscovy | Statement: [Grand Duchy of Moscow, commonName, Muscovy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muscovy
Context triple: [Grand Duchy of Moscow, commonName, Muscovy]
  • A. Muscovy chosen
    Muscovy was a late medieval and early modern Russian principality centered on Moscow that expanded to form the core of the Russian state.
  • B. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • C. Pike
    Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
  • D. Bois Caïman
    Bois Caïman is a historic site in northern Haiti renowned as the location of the 1791 Vodou ceremony that helped spark the Haitian Revolution.
  • E. Rana
    Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26a5a508190948932769de0dbb3 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32549eb9c81908c3a525da9eab0aa completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.