Triple
T11789970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acre Municipality |
E280362
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | northern Israel |
E18134
|
NE 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: northern Israel | Statement: [Acre Municipality, locatedIn, northern Israel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: northern Israel Context triple: [Acre Municipality, locatedIn, northern Israel]
-
A.
Northern District, Israel
chosen
Northern District, Israel is the country’s northernmost administrative region, encompassing parts of the Galilee and Golan Heights and including cities such as Tiberias, Safed, and Nazareth.
-
B.
Southern District, Israel
Southern District, Israel is the largest and southernmost administrative district of Israel, encompassing the Negev desert and key cities such as Beersheba and Eilat.
-
C.
צפון הנגב
צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
-
D.
נגב
נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
-
E.
Central District, Israel
Central District, Israel is an administrative region in the central part of the country that includes major cities and institutions such as the Weizmann Institute of Science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a587c2d881909297c3a6c7d26080 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166c735008190a73dd74dbcddd182 |
completed | April 29, 2026, 2:02 a.m. |
Created at: April 8, 2026, 9:42 p.m.