Triple
T38130910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | רמת גן |
E952217
|
entity |
| Predicate | כוללת אזור |
P96191
|
FINISHED |
| Object | אזור הבורסה |
—
|
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: אזור הבורסה | Statement: [רמת גן, כוללת אזור, אזור הבורסה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: כוללת אזור Context triple: [רמת גן, כוללת אזור, אזור הבורסה]
-
A.
כולל
chosen
Indicates that something contains, includes, or encompasses something else as a part or subset.
-
B.
الضفة
Indicates a spatial relationship where something is located on or associated with a particular bank or side of a river, sea, or similar boundary.
-
C.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
D.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
E.
Gelände
Indicates a relationship where something is located on, takes place in, or is associated with a specific area of land or terrain.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:21 p.m.