Triple

T12181532
Position Surface form Disambiguated ID Type / Status
Subject Święciany E290230 entity
Predicate alternativeName P39 FINISHED
Object Sventzion
Sventzion is an alternative historical name for the town of Święciany, located in present-day Lithuania.
E968304 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: Sventzion | Statement: [Święciany, alternativeName, Sventzion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sventzion
Context triple: [Święciany, alternativeName, Sventzion]
  • A. Vestinian
    The Vestinians were an ancient Italic people of central Italy, culturally and linguistically related to other Sabellian tribes.
  • B. Vahcuengh
    Vahcuengh is the native autonym and standardized written form of the Zhuang language, a Tai language spoken primarily in Guangxi, China.
  • C. Velitrae
    Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
  • D. Czernobog
    Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
  • E. Naberius
    Naberius is the main demonic antagonist in the film "I, Frankenstein," depicted as a powerful prince of demons seeking to harness reanimation technology for his own dark purposes.
  • 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: Sventzion
Triple: [Święciany, alternativeName, Sventzion]
Generated description
Sventzion is an alternative historical name for the town of Święciany, located in present-day Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sventzion
Target entity description: Sventzion is an alternative historical name for the town of Święciany, located in present-day Lithuania.
  • A. Vestinian
    The Vestinians were an ancient Italic people of central Italy, culturally and linguistically related to other Sabellian tribes.
  • B. Vahcuengh
    Vahcuengh is the native autonym and standardized written form of the Zhuang language, a Tai language spoken primarily in Guangxi, China.
  • C. Velitrae
    Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
  • D. Czernobog
    Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
  • E. Naberius
    Naberius is the main demonic antagonist in the film "I, Frankenstein," depicted as a powerful prince of demons seeking to harness reanimation technology for his own dark purposes.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:50 p.m.