Triple

T34911767
Position Surface form Disambiguated ID Type / Status
Subject Sigismund E1006887 entity
Predicate hasLithuanianForm P64982 FINISHED
Object Žygimantas
Žygimantas is the Lithuanian form of the historical given name Sigismund, borne by several European rulers and nobles.
E2116253 NE FINISHED

How this triple was built (3 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: Žygimantas | Statement: [Sigismund, hasLithuanianForm, Žygimantas]
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: Žygimantas
Triple: [Sigismund, hasLithuanianForm, Žygimantas]
Generated description
Žygimantas is the Lithuanian form of the historical given name Sigismund, borne by several European rulers and nobles.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLithuanianForm
Context triple: [Sigismund, hasLithuanianForm, Žygimantas]
  • A. hasFinnishForm
    Indicates that an entity has a corresponding representation or form expressed in the Finnish language.
  • B. nameInLithuanian chosen
    Indicates that one entity is the Lithuanian-language name or label for another entity.
  • C. hasLanguageFormOf
    Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
  • D. hasLanguageNeutralForm
    Indicates that an entity has a form or representation that is independent of any specific natural language.
  • E. hasScandinavianForm
    Indicates that one entity is a Scandinavian-language form or variant of another entity.
  • F. None of above.

Provenance (6 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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe9b0276d48190b554fa22b043e6d8 completed May 9, 2026, 2:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f097fc8190ab2b442bd6c7c556 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a3790a2977081909d171a4bcea302fc completed June 21, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a379170ec24819082c79ec7724c67e9 completed June 21, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69fe999692b081909921e1148d66f0ef completed May 9, 2026, 2:19 a.m.
Created at: May 3, 2026, 4 p.m.