Triple

T6769437
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg Metro E155005 entity
Predicate terminusStation P15150 FINISHED
Object Parnas
Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
 E617242 NE FINISHED

How this triple was built (4 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: Parnas | Statement: [Saint Petersburg Metro, terminusStation, Parnas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parnas
Context triple: [Saint Petersburg Metro, terminusStation, Parnas]
  • A. Infeld
    Infeld is the surname of Leopold Infeld, a notable Polish theoretical physicist who collaborated with Albert Einstein on the theory of relativity.
  • B. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • C. Kowal
    Kowal is a small town in central Poland historically notable as the birthplace of King Casimir III the Great.
  • D. Von Koren
    Von Koren is the zealous zoologist and moral absolutist who serves as the central antagonist in Anton Chekhov’s novella "The Duel."
  • E. Kroah-Hartman
    Kroah-Hartman is the hyphenated surname of Greg Kroah-Hartman, a prominent Linux kernel developer and maintainer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parnas
Triple: [Saint Petersburg Metro, terminusStation, Parnas]
Generated description
Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parnas
Target entity description: Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • A. Infeld
    Infeld is the surname of Leopold Infeld, a notable Polish theoretical physicist who collaborated with Albert Einstein on the theory of relativity.
  • B. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • C. Kowal
    Kowal is a small town in central Poland historically notable as the birthplace of King Casimir III the Great.
  • D. Von Koren
    Von Koren is the zealous zoologist and moral absolutist who serves as the central antagonist in Anton Chekhov’s novella "The Duel."
  • E. Kroah-Hartman
    Kroah-Hartman is the hyphenated surname of Greg Kroah-Hartman, a prominent Linux kernel developer and maintainer.
  • F. None of above. chosen

Provenance (5 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d232d1f08190bc30c0f24f28c475 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713853bf88190a8a07fd9f4ea1687 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:12 p.m.