Triple

T21299160
Position Surface form Disambiguated ID Type / Status
Subject Demetrius II of Georgia E525007 entity
Predicate successor P78 FINISHED
Object Vakhtang II of Georgia
Vakhtang II of Georgia was a 13th-century Georgian king from the Bagrationi dynasty who ruled during the period of Mongol dominance over the Kingdom of Georgia.
E1608744 NE FINISHED

How this triple was built (2 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: Vakhtang II of Georgia | Statement: [Demetrius II of Georgia, successor, Vakhtang II of Georgia]
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: Vakhtang II of Georgia
Triple: [Demetrius II of Georgia, successor, Vakhtang II of Georgia]
Generated description
Vakhtang II of Georgia was a 13th-century Georgian king from the Bagrationi dynasty who ruled during the period of Mongol dominance over the Kingdom of Georgia.

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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385b1c548190b940ded0163ee3ca completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f75df2518819085c5f0dc001de791 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76f167d08190a9e4d3abc3cc4545 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c5e978819086792ca6d9835ff9 completed May 21, 2026, 9:27 p.m.
Created at: April 16, 2026, 4:05 p.m.