Triple

T9724839
Position Surface form Disambiguated ID Type / Status
Subject Dmitry Ivanovich E235579 entity
Predicate politicalEntity P19232 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: [Dmitry Ivanovich, politicalEntity, Muscovy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muscovy
Context triple: [Dmitry Ivanovich, politicalEntity, 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. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • C. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • D. 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.
  • E. Illiger
    Illiger is the standard taxonomic author abbreviation for Johann Karl Wilhelm Illiger, a German zoologist and entomologist known for his early 19th-century work in animal classification.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7838448190a7b5b259765a0d95 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afb089e48190a14ed0c0f81872c7 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.