Triple

T8538807
Position Surface form Disambiguated ID Type / Status
Subject Jay Lovestone E202143 entity
Predicate placeOfBirth P1 FINISHED
Object Zarasai
Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
 E752737 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: Zarasai | Statement: [Jay Lovestone, placeOfBirth, Zarasai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zarasai
Context triple: [Jay Lovestone, placeOfBirth, Zarasai]
  • A. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • B. Klaipėda
    Klaipėda is a Lithuanian port city on the Baltic Sea known as the country’s main maritime gateway and a key regional transport and industrial hub.
  • C. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • D. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • E. Šilutė
    Šilutė is a town in western Lithuania known for its location near the Nemunas River delta and its historical ties to the former East Prussian region.
  • 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: Zarasai
Triple: [Jay Lovestone, placeOfBirth, Zarasai]
Generated description
Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zarasai
Target entity description: Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
  • A. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • B. Klaipėda
    Klaipėda is a Lithuanian port city on the Baltic Sea known as the country’s main maritime gateway and a key regional transport and industrial hub.
  • C. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • D. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • E. Šilutė
    Šilutė is a town in western Lithuania known for its location near the Nemunas River delta and its historical ties to the former East Prussian region.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a7441c8190980c3516073422fe completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf280edb288190a7db5486cc426253 completed April 3, 2026, 2:38 a.m.
NEDg Description generation batch_69cf2a6a91d48190aa7d45b0a010f261 completed April 3, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c0aace08190aca839c39e718c52 completed April 3, 2026, 2:55 a.m.
Created at: March 30, 2026, 6:18 p.m.