Triple
T9270178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جبل عرفة |
E222803
|
entity |
| Predicate | الطبيعة الجغرافية |
P52634
|
FINISHED |
| Object | صخري |
—
|
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: صخري | Statement: [جبل عرفة, الطبيعة الجغرافية, صخري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الطبيعة الجغرافية Context triple: [جبل عرفة, الطبيعة الجغرافية, صخري]
-
A.
geographicalNature
chosen
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
B.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
C.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
-
D.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
E.
geographicalAnomaly
Indicates a relationship where a location exhibits unusual or irregular geographical features or conditions compared to its surrounding area.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078525308190abfb883123742d3f |
completed | April 1, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.