Triple
T25803042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | נגב |
E649887
|
entity |
| Predicate | שמורת טבע בולטת |
P46488
|
FINISHED |
| Object | שמורת מצוק הצינים |
—
|
NE NERFINISHED |
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: שמורת מצוק הצינים | Statement: [נגב, שמורת טבע בולטת, שמורת מצוק הצינים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: שמורת טבע בולטת Context triple: [נגב, שמורת טבע בולטת, שמורת מצוק הצינים]
-
A.
موضوع بوستان
Indicates that something is the subject or topic of the work "بوستان" (Bustan).
-
B.
containsNatureReserve
chosen
Indicates that one entity geographically includes or encompasses a designated nature reserve within its boundaries.
-
C.
الغطاء النباتي
Indicates the presence, extent, or characteristics of plant cover in a given area.
-
D.
hasNaturalProtection
Indicates that an entity is safeguarded by inherent or environmental protective features (such as terrain, vegetation, or natural barriers) rather than by artificial defenses.
-
E.
honourNature
Indicates showing deep respect, care, and ethical consideration toward the natural world and its processes.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffccd0d0819095d21378b5b9590a |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 6:42 a.m.