Triple

T4631187
Position Surface form Disambiguated ID Type / Status
Subject Petrozavodsk E101419 entity
Predicate hasSisterCity P919 FINISHED
Object Varkaus
Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
 E457695 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: Varkaus | Statement: [Petrozavodsk, hasSisterCity, Varkaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varkaus
Context triple: [Petrozavodsk, hasSisterCity, Varkaus]
  • A. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Torvastad
    Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • 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: Varkaus
Triple: [Petrozavodsk, hasSisterCity, Varkaus]
Generated description
Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varkaus
Target entity description: Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • A. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Torvastad
    Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a32d6408190962e60b9bce7560d completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfabeba3c8190b6515b99746f62a6 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb6fa3fc8190b79b641025710eb1 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbf15f1481908b76bcdd37ebd4ce completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:13 p.m.