Triple
T3649634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Aviv District |
E77387
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
|
E378802
|
NE FINISHED |
How this triple was built (4 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: Savyon | Statement: [Tel Aviv District, contains, Savyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savyon Context triple: [Tel Aviv District, contains, Savyon]
-
A.
Yishai
Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
-
B.
Yariv
Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
-
C.
Dayan
Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
-
D.
Sde Dov
Sde Dov is a former airport site in Tel Aviv, Israel, now known primarily for its redevelopment into residential and commercial urban areas.
-
E.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Savyon Triple: [Tel Aviv District, contains, Savyon]
Generated description
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savyon Target entity description: Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
-
A.
Yishai
Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
-
B.
Yariv
Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
-
C.
Dayan
Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
-
D.
Sde Dov
Sde Dov is a former airport site in Tel Aviv, Israel, now known primarily for its redevelopment into residential and commercial urban areas.
-
E.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
- F. None of above. chosen
Provenance (5 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38fa1988190b630329700afc3dd |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488394aa48190b91985aa912cf733 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48c3204dc8190bd283ce429b08291 |
completed | March 13, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4bcc702dc81908bbeb7ce73c8a5db |
completed | March 14, 2026, 1:41 a.m. |
Created at: March 8, 2026, 3:24 p.m.