Triple
T37407993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allah and His Messenger (as a legal designation for public authority) |
E929182
|
entity |
| Predicate | historicalFunction |
P2715
|
FINISHED |
| Object | basis for organizing state revenues in the Prophet’s polity |
—
|
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: basis for organizing state revenues in the Prophet’s polity | Statement: [Allah and His Messenger (as a legal designation for public authority), historicalFunction, basis for organizing state revenues in the Prophet’s polity]
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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8d805f048190b63e22fe5436b8e9 |
completed | May 6, 2026, 6:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.