Triple

T37733410
Position Surface form Disambiguated ID Type / Status
Subject Central Asian Buddhism E940218 entity
Predicate usedScript P6524 FINISHED
Object Tocharian script
The Tocharian script is an ancient Brahmi-derived writing system used by the Tocharian-speaking peoples of the Tarim Basin to record Buddhist and other texts in the Tocharian A and B languages.
E771667 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: Tocharian script | Statement: [Central Asian Buddhism, usedScript, Tocharian script]
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: Tocharian script
Triple: [Central Asian Buddhism, usedScript, Tocharian script]
Generated description
The Tocharian script is an ancient Brahmi-derived writing system used by the Tocharian-speaking peoples of the Tarim Basin to record Buddhist and other texts in the Tocharian A and B languages.

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_69f76edefd048190a32212c5c3919531 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae98732881908761346109438da2 completed May 6, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f173c9a48190a3f9d16c268218b2 completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f286b12c8190a2a2b49b6711e7e5 completed June 28, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a40f3fe400c8190a8ea39d67b33c0c8 completed June 28, 2026, 10:14 a.m.
Created at: May 3, 2026, 4:18 p.m.