Triple
T4665857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safari Ramat Gan |
E102844
|
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: [Safari Ramat Gan, region, Gush Dan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gush Dan Context triple: [Safari Ramat Gan, 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 Arugot
Nahal Arugot is a desert stream and hiking gorge in the Ein Gedi area near the Dead Sea, known for its waterfalls, natural pools, and dramatic canyon scenery.
-
D.
Nahal David
Nahal David is a desert stream and hiking gorge in the Ein Gedi nature reserve near the Dead Sea, known for its waterfalls, wildlife, and scenic trails.
-
E.
Valley of Sorek
The Valley of Sorek is a biblical valley in ancient Israel traditionally associated with the story of Samson and Delilah.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633c3ea08190b8a66afbba1dcb1c |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0384a1488190a59dc08766f526dd |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.