Triple

T17009602
Position Surface form Disambiguated ID Type / Status
Subject Libuše E412662 entity
Predicate character P662 FINISHED
Object Lutobor
Lutobor is a figure from Czech legend and literature associated with the mythic narratives surrounding the prophetess Libuše and the early history of Bohemia.
 E1244599 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: Lutobor | Statement: [Libuše, character, Lutobor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lutobor
Context triple: [Libuše, character, Lutobor]
  • A. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • B. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • C. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • D. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • E. Kresowa
    Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
  • 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: Lutobor
Triple: [Libuše, character, Lutobor]
Generated description
Lutobor is a figure from Czech legend and literature associated with the mythic narratives surrounding the prophetess Libuše and the early history of Bohemia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lutobor
Target entity description: Lutobor is a figure from Czech legend and literature associated with the mythic narratives surrounding the prophetess Libuše and the early history of Bohemia.
  • A. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • B. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • C. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • D. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • E. Kresowa
    Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc241ec88190a3e868ab88b26f09 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d7d03c8190943777f4eac956fd completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a01159a08b081908fc82adc7cca532a completed May 10, 2026, 11:32 p.m.
Created at: April 10, 2026, 5:33 a.m.