Triple
T16386325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kfar Shmaryahu |
E397931
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Gush Dan |
E259669
|
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: Gush Dan | Statement: [Kfar Shmaryahu, region, Gush Dan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gush Dan Context triple: [Kfar Shmaryahu, region, Gush Dan]
-
A.
Gush Dan
chosen
Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
-
B.
Ayalon Valley
Ayalon Valley is a historically significant valley in central Israel, known as a strategic route and the site of numerous ancient battles.
-
C.
Nahal Sorek
Nahal Sorek is a major stream and valley in central Israel, historically and biblically significant as part of the Judean foothills landscape.
-
D.
Nahal Dan
Nahal Dan is the Hebrew name for the Dan River, a major spring-fed tributary of the Jordan River in northern Israel known for its lush nature reserve and archaeological sites.
-
E.
Nahal Snir
Nahal Snir is a river in northern Israel that forms part of the upper Jordan River system and is known for its nature reserve and hiking trails.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356cf44081909133b599cfe9ed4a |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.