Triple
T26027199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מחוז הדרום |
E647324
|
entity |
| Predicate | המחוז הגדול בישראל לפי שטח |
P154816
|
FINISHED |
| Object | כן |
—
|
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: כן | Statement: [מחוז הדרום, המחוז הגדול בישראל לפי שטח, כן]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: המחוז הגדול בישראל לפי שטח Context triple: [מחוז הדרום, המחוז הגדול בישראל לפי שטח, כן]
-
A.
hasLargestAreaOf
Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
-
B.
largestNeighborhoodByArea
Indicates the relationship where a neighborhood is identified as the one with the greatest land area among a specified set or within a given region.
-
C.
isLargestDistrictOf
Indicates that a district is the largest (typically by area or population) among all districts within a specified region or administrative unit.
-
D.
isLargestByArea
chosen
Indicates that one entity has the greatest area compared to all other entities in a specified set or context.
-
E.
largestIslandDistrictOf
Indicates that one entity is the island district with the greatest area (or size) within the scope defined by the other entity.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605ec65448190895219d85eb0d6a8 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:05 a.m.