Triple
T33718671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مغارة السيدة مريم |
E863945
|
entity |
| Predicate | يُنظر إليها على أنها |
P76859
|
FINISHED |
| Object | مكان مقدس |
—
|
LITERAL 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: مكان مقدس | Statement: [مغارة السيدة مريم, يُنظر إليها على أنها, مكان مقدس]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُنظر إليها على أنها Context triple: [مغارة السيدة مريم, يُنظر إليها على أنها, مكان مقدس]
-
A.
viewedAsByMuslims
Indicates that something is regarded or perceived in a particular way specifically by Muslims.
-
B.
viewedAsByMainstreamMuslims
Indicates how something is regarded, characterized, or perceived by mainstream Muslims.
-
C.
canBeViewedAs
chosen
Indicates that one entity may be interpreted, treated, or understood as another entity or type under some perspective or conditions.
-
D.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
E.
viewedIslamAs
Indicates that one entity regarded or interpreted Islam in a particular way or from a specific perspective.
- F. None of above.
Provenance (3 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae822548190b5109528247b5be6 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.