Triple

T21179295
Position Surface form Disambiguated ID Type / Status
Subject Šilutė E521901 entity
Predicate historicalName P65 FINISHED
Object Šilokarčema
Šilokarčema is the former name of the Lithuanian town now known as Šilutė, historically part of the East Prussian region.
 E1470451 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: Šilokarčema | Statement: [Šilutė, historicalName, Šilokarčema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Šilokarčema
Context triple: [Šilutė, historicalName, Šilokarčema]
  • A. Sulikot
    Sulikot is a rural municipality located in Nepal's Gorkha District, known for its hilly terrain and predominantly agricultural communities.
  • B. Šeštokai
    Šeštokai is a small town in southern Lithuania known as an important railway junction near the Polish border.
  • C. Šilo
    Šilo is a small coastal village and tourist resort on the northeastern shore of the Croatian island of Krk, known for its beaches and tranquil seaside atmosphere.
  • D. Sološnica
    Sološnica is a village and municipality in western Slovakia, situated in the Malacky District of the Bratislava Region.
  • E. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • 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: Šilokarčema
Triple: [Šilutė, historicalName, Šilokarčema]
Generated description
Šilokarčema is the former name of the Lithuanian town now known as Šilutė, historically part of the East Prussian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Šilokarčema
Target entity description: Šilokarčema is the former name of the Lithuanian town now known as Šilutė, historically part of the East Prussian region.
  • A. Sulikot
    Sulikot is a rural municipality located in Nepal's Gorkha District, known for its hilly terrain and predominantly agricultural communities.
  • B. Šeštokai
    Šeštokai is a small town in southern Lithuania known as an important railway junction near the Polish border.
  • C. Šilo
    Šilo is a small coastal village and tourist resort on the northeastern shore of the Croatian island of Krk, known for its beaches and tranquil seaside atmosphere.
  • D. Sološnica
    Sološnica is a village and municipality in western Slovakia, situated in the Malacky District of the Bratislava Region.
  • E. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301b41908190bc104aa748a0346d completed April 21, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757967588190bb6c8c940fe8d0de completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09764338fc8190be908a6fa9457d18 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978016f188190b8e2d2c7b1b01977 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3 p.m.