Triple

T8268940
Position Surface form Disambiguated ID Type / Status
Subject Turiysk E193371 entity
Predicate regionCapital P16248 FINISHED
Object Lutsk
Lutsk is a historic city in northwestern Ukraine, known as an important cultural, economic, and administrative center of the Volyn region.
 E6073 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: Lutsk | Statement: [Turiysk, regionCapital, Lutsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lutsk
Context triple: [Turiysk, regionCapital, Lutsk]
  • A. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • B. Drohobych
    Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
  • C. Ternopil
    Ternopil is a city in western Ukraine known as a regional cultural and economic center with a historic old town and a picturesque lakeside setting.
  • D. Rivne
    Rivne is a city in western Ukraine that serves as an important regional administrative, economic, and cultural center.
  • E. Cherkasy
    Cherkasy is a city in central Ukraine located on the banks of the Dnieper River and serving as an important regional industrial and cultural center.
  • 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: Lutsk
Triple: [Turiysk, regionCapital, Lutsk]
Generated description
Lutsk is a historic city in northwestern Ukraine, known as an important cultural, economic, and administrative center of the Volyn region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lutsk
Target entity description: Lutsk is a historic city in northwestern Ukraine, known as an important cultural, economic, and administrative center of the Volyn region.
  • A. Lutsk chosen
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • B. Drohobych
    Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
  • C. Ternopil
    Ternopil is a city in western Ukraine known as a regional cultural and economic center with a historic old town and a picturesque lakeside setting.
  • D. Rivne
    Rivne is a city in western Ukraine that serves as an important regional administrative, economic, and cultural center.
  • E. Cherkasy
    Cherkasy is a city in central Ukraine located on the banks of the Dnieper River and serving as an important regional industrial and cultural center.
  • F. None of above.

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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d7ff2a88190964a272647245bdc completed April 2, 2026, 11:05 a.m.
NEDg Description generation batch_69ce4f556a408190b404481a32b2457b completed April 2, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ce503737a4819083ebf9f410eac826 completed April 2, 2026, 11:17 a.m.
Created at: March 30, 2026, 5:50 p.m.