Triple

T37483088
Position Surface form Disambiguated ID Type / Status
Subject Hindu–Muslim conflict E931459 entity
Predicate hasHistoricalEvent P2107 FINISHED
Object Bhagalpur riots of 1989
The Bhagalpur riots of 1989 were a major episode of communal violence in Bihar, India, in which large-scale clashes between Hindus and Muslims led to extensive loss of life, displacement, and long-lasting social and political repercussions.
E2233798 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: Bhagalpur riots of 1989 | Statement: [Hindu–Muslim conflict, hasHistoricalEvent, Bhagalpur riots of 1989]
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: Bhagalpur riots of 1989
Triple: [Hindu–Muslim conflict, hasHistoricalEvent, Bhagalpur riots of 1989]
Generated description
The Bhagalpur riots of 1989 were a major episode of communal violence in Bihar, India, in which large-scale clashes between Hindus and Muslims led to extensive loss of life, displacement, and long-lasting social and political repercussions.

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_69f76ec382248190b47844df596123c6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3577e888190b4fa6adefe5c54c7 completed May 6, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7e37ac48190b560ad916d660551 completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a87e4c008190b9a9c54dd789dbc2 completed June 28, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_6a40a901f21c8190ad963f201863a3b0 completed June 28, 2026, 4:54 a.m.
Created at: May 3, 2026, 4:17 p.m.