Triple
T16718722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan (Laish) |
E406289
|
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: [Dan (Laish), locatedIn, northern Israel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: northern Israel Context triple: [Dan (Laish), 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.
Arava region
The Arava region is a sparsely populated desert valley in southern Israel, stretching between the Dead Sea and the Red Sea and known for its unique arid landscapes and agricultural communities.
-
C.
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.
-
D.
צפון הנגב
צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
-
E.
נגב
נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3865855108190bf8767b7b6c5fa10 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d3da12881909296926edde5b723 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.