Triple

T9818995
Position Surface form Disambiguated ID Type / Status
Subject Gołdap E238478 entity
Predicate twinTown P1072 FINISHED
Object Sakiai
Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
E823636 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: Sakiai | Statement: [Gołdap, twinTown, Sakiai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakiai
Context triple: [Gołdap, twinTown, Sakiai]
  • A. Terikiai
    Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
  • B. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • C. Mažeikiai
    Mažeikiai is a town in northwestern Lithuania known for its large oil refinery and role as an industrial and transport hub in the Samogitia region.
  • D. Šiauliai
    Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
  • 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: Sakiai
Triple: [Gołdap, twinTown, Sakiai]
Generated description
Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sakiai
Target entity description: Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
  • A. Terikiai
    Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
  • B. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • C. Mažeikiai
    Mažeikiai is a town in northwestern Lithuania known for its large oil refinery and role as an industrial and transport hub in the Samogitia region.
  • D. Šiauliai
    Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc74de14819083299a549f04b2b1 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:31 p.m.