Triple
T36766781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk Grotto shrine |
E908360
|
entity |
| Predicate | tradition |
P1186
|
FINISHED |
| Object | Mary’s milk miraculously whitened the rock |
—
|
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: Mary’s milk miraculously whitened the rock | Statement: [Milk Grotto shrine, tradition, Mary’s milk miraculously whitened the rock]
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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c981240c819089bac537309067dd |
completed | May 3, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:12 p.m.