Triple
T33426787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Oropa |
E856005
|
entity |
| Predicate | hasStatue |
P1646
|
FINISHED |
| Object |
Black Madonna of Oropa
The Black Madonna of Oropa is a revered wooden statue of the Virgin Mary with dark skin, venerated as the centerpiece of one of Italy’s most important Alpine Marian pilgrimage sites.
|
E2051646
|
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: Black Madonna of Oropa | Statement: [Sanctuary of Oropa, hasStatue, Black Madonna of Oropa]
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: Black Madonna of Oropa Triple: [Sanctuary of Oropa, hasStatue, Black Madonna of Oropa]
Generated description
The Black Madonna of Oropa is a revered wooden statue of the Virgin Mary with dark skin, venerated as the centerpiece of one of Italy’s most important Alpine Marian pilgrimage sites.
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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e45d1efc819095ef29767f3fe679 |
completed | May 3, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a358153e6808190982a021ebb881722 |
completed | June 19, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_6a3582828d68819090dd5550a9a52db4 |
completed | June 19, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3582f3203081909181daf41c575a0f |
completed | June 19, 2026, 5:57 p.m. |
Created at: May 1, 2026, 1:36 a.m.