Triple
T9155538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | religious policy of the People's Republic of China |
E219698
|
entity |
| Predicate | defines |
P264
|
FINISHED |
| Object | religious freedom as subject to law and state interests |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: religious freedom as subject to law and state interests | Statement: [religious policy of the People's Republic of China, defines, religious freedom as subject to law and state interests]
Provenance (2 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d274bc8190b734a814e253d18a |
completed | April 1, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:21 p.m.