Triple

T3439512
Position Surface form Disambiguated ID Type / Status
Subject Battle of Legnica E72531 entity
Predicate commander P1061 FINISHED
Object Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
 E357257 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: Baiju | Statement: [Battle of Legnica, commander, Baiju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baiju
Context triple: [Battle of Legnica, commander, Baiju]
  • A. Obi
    Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
  • B. Ziro
    Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
  • C. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • D. Chewbacca
    Chewbacca is a towering Wookiee warrior and loyal co-pilot of the Millennium Falcon, best known as Han Solo’s steadfast companion in the Star Wars franchise.
  • E. Groot
    Groot is a sentient, tree-like alien superhero from Marvel Comics and the Marvel Cinematic Universe, known for his limited vocabulary and close partnership with Rocket Raccoon.
  • 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: Baiju
Triple: [Battle of Legnica, commander, Baiju]
Generated description
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baiju
Target entity description: Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
  • A. Obi
    Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
  • B. Ziro
    Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
  • C. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • D. Chewbacca
    Chewbacca is a towering Wookiee warrior and loyal co-pilot of the Millennium Falcon, best known as Han Solo’s steadfast companion in the Star Wars franchise.
  • E. Groot
    Groot is a sentient, tree-like alien superhero from Marvel Comics and the Marvel Cinematic Universe, known for his limited vocabulary and close partnership with Rocket Raccoon.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f6de1481909b789f4b0e1113d3 completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3567042ac8190aacf4e30da1aa816 completed March 13, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:16 p.m.