Triple
T20339643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | נחל שורק |
E495704
|
entity |
| Predicate | hasNatureValue |
P106758
|
FINISHED |
| Object | מסדרון אקולוגי חשוב בשפלת יהודה |
—
|
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: מסדרון אקולוגי חשוב בשפלת יהודה | Statement: [נחל שורק, hasNatureValue, מסדרון אקולוגי חשוב בשפלת יהודה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNatureValue Context triple: [נחל שורק, hasNatureValue, מסדרון אקולוגי חשוב בשפלת יהודה]
-
A.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
B.
hasNaturalCondition
chosen
Indicates that an entity possesses or is subject to a particular natural state, feature, or condition inherent to its environment or biology.
-
C.
hasNaturalForm
Indicates that an entity possesses an inherent, unaltered, or naturally occurring form or state.
-
D.
isNaturalIn
Indicates that something occurs, exists, or develops in a place or context as a native or inherent part of it, without artificial introduction.
-
E.
hasPhysicalNature
Indicates that one entity possesses or exhibits a specific physical form, composition, or material nature in relation to another.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678342a0081908ede8006eb5506a3 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:23 a.m.