Triple
T37483128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu–Muslim conflict |
E931459
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Islam in India
Islam in India refers to the diverse religious, cultural, and social presence of Muslims on the Indian subcontinent, shaped by centuries of trade, conquest, syncretism, and interaction with the region’s predominantly Hindu society.
|
E2228759
|
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: Islam in India | Statement: [Hindu–Muslim conflict, relatedTo, Islam in India]
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: Islam in India Triple: [Hindu–Muslim conflict, relatedTo, Islam in India]
Generated description
Islam in India refers to the diverse religious, cultural, and social presence of Muslims on the Indian subcontinent, shaped by centuries of trade, conquest, syncretism, and interaction with the region’s predominantly Hindu society.
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_6a408c4201c08190a0eca3a61f453266 |
completed | June 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a408d9345e081909b4b57e218254858 |
completed | June 28, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a408e95b7dc8190a6b7cf7a355f2966 |
completed | June 28, 2026, 3:01 a.m. |
Created at: May 3, 2026, 4:17 p.m.