Triple
T29211596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 pro-Jallikattu protests in Tamil Nadu |
E740557
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Prevention of Cruelty to Animals Act, 1960
The Prevention of Cruelty to Animals Act, 1960 is an Indian law that seeks to prevent the infliction of unnecessary pain or suffering on animals and forms the legal framework for animal welfare and protection in the country.
|
E1855645
|
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: Prevention of Cruelty to Animals Act, 1960 | Statement: [2017 pro-Jallikattu protests in Tamil Nadu, relatedTo, Prevention of Cruelty to Animals Act, 1960]
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: Prevention of Cruelty to Animals Act, 1960 Triple: [2017 pro-Jallikattu protests in Tamil Nadu, relatedTo, Prevention of Cruelty to Animals Act, 1960]
Generated description
The Prevention of Cruelty to Animals Act, 1960 is an Indian law that seeks to prevent the infliction of unnecessary pain or suffering on animals and forms the legal framework for animal welfare and protection in the country.
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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664057f888190b8c7e45431970680 |
completed | May 2, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2569c95df48190913cead73e317d14 |
completed | June 7, 2026, 12:53 p.m. |
| NEDg | Description generation | batch_6a256e1a5a7481909bd3a9e3a719bba5 |
completed | June 7, 2026, 1:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25720109c481908ee70d2bbeb32403 |
completed | June 7, 2026, 1:28 p.m. |
Created at: April 28, 2026, 12:11 p.m.