Triple

T32627451
Position Surface form Disambiguated ID Type / Status
Subject Sera lineage E834095 entity
Predicate associatedWithInstitution P2227 FINISHED
Object Sera Ngari College
Sera Ngari College is a monastic educational institution within the Sera lineage of Tibetan Buddhism, dedicated to advanced scriptural study and spiritual training.
E2014306 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: Sera Ngari College | Statement: [Sera lineage, associatedWithInstitution, Sera Ngari College]
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: Sera Ngari College
Triple: [Sera lineage, associatedWithInstitution, Sera Ngari College]
Generated description
Sera Ngari College is a monastic educational institution within the Sera lineage of Tibetan Buddhism, dedicated to advanced scriptural study and spiritual training.

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_69f3492ccc80819086ef7d26e9786647 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c718b4ac81909c4e495a29160737 completed May 3, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a348625ca808190a520aa634c54487f completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3486911d8c8190983388d7191b4d77 completed June 19, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a3487efeb248190b0d48dc5266c3927 completed June 19, 2026, 12:06 a.m.
Created at: May 1, 2026, 1:06 a.m.