Triple

T8623712
Position Surface form Disambiguated ID Type / Status
Subject Pavelets E204231 entity
Predicate hasNotableEponym P56375 FINISHED
Object Paveletsky railway station E40633 NE FINISHED

How this triple was built (3 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: Paveletsky railway station | Statement: [Pavelets, hasNotableEponym, Paveletsky railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paveletsky railway station
Context triple: [Pavelets, hasNotableEponym, Paveletsky railway station]
  • A. Paveletsky railway station chosen
    Paveletsky railway station is one of Moscow’s major rail terminals, serving long-distance, suburban, and high-speed trains and providing a key transport link between the city center and southern destinations.
  • B. Nadezhda station
    Nadezhda station is a metro station on the Sofia Metro system in Sofia, Bulgaria, serving the Nadezhda residential district.
  • C. Cherkizovskaya station
    Cherkizovskaya station is a Moscow Metro station serving the northeastern part of the city near the Cherkizovo area and major transport hubs.
  • D. Levoberezhnaya railway station
    Levoberezhnaya railway station is a suburban rail stop serving passenger traffic in the city of Khimki, near Moscow, Russia.
  • E. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableEponym
Context triple: [Pavelets, hasNotableEponym, Paveletsky railway station]
  • A. hasEponymConnectionTo chosen
    Indicates that one entity is named after, derived from, or otherwise linguistically or honorifically connected to another entity as its eponym.
  • B. sharesEponymWith
    Indicates that two entities are named after the same person, place, or thing (i.e., they share the same eponym).
  • C. hasNamesakeNotability
    Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
  • D. notableScientist
    Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
  • E. hasEponymCauseOfDeath
    Indicates that an entity’s cause of death is named after (or eponymously derived from) a particular person or entity.
  • F. None of above.

Provenance (4 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbe6a7e48190a166a31dccd8ac16 completed April 2, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69cc455906f8819082edd79cb4a1cf28 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:26 p.m.