Triple

T20071819
Position Surface form Disambiguated ID Type / Status
Subject Tsar E499755 entity
Predicate pluralForm P5088 FINISHED
Object Tsars NE NERFINISHED

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: Tsars | Statement: [Tsar, pluralForm, Tsars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsars
Context triple: [Tsar, pluralForm, Tsars]
  • A. Tsar chosen
    A tsar was the title used by Slavic monarchs, most notably the emperors of Russia and earlier rulers of Bulgaria and Serbia, signifying a sovereign equivalent to an emperor.
  • B. שושלת טשרנוביל
    שושלת טשרנוביל היא שושלת חסידית מרכזית שמוצאה מרבי מנחם נחום מצ'רנוביל, וממנה הסתעפו חצרות רבות בעולם החסידות.
  • C. Autokrator
    Autokrator is a Greek imperial title historically used to denote a supreme, absolute ruler, most prominently the Byzantine emperor.
  • D. the Tsar Dadon
    The Tsar Dadon is a fictional monarch from Alexander Pushkin’s fairy-tale poem "The Tale of the Golden Cockerel," known for his ill-fated reliance on a magical warning bird and the mysterious astrologer who aids him.
  • E. Fürst
    Fürst is a German noble title historically ranking below a duke and above a count, often translated as "prince" in English.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.