Triple
T22474533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Subdistrict |
E555592
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Even Yehuda |
—
|
NE NERFINISHED |
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: Even Yehuda | Statement: [Sharon Subdistrict, contains, Even Yehuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Even Yehuda Context triple: [Sharon Subdistrict, contains, Even Yehuda]
-
A.
Even Yehuda
chosen
Even Yehuda is a local council town in central Israel, known as a suburban community within the Sharon plain that forms part of the greater Tel Aviv metropolitan area.
-
B.
Or Yehuda
Or Yehuda is a city in central Israel, located in the Tel Aviv District and functioning largely as a residential suburb of the Tel Aviv metropolitan area.
-
C.
Shefelat Yehuda
Shefelat Yehuda is the Hebrew name for the Shephelah, the lowland region of rolling hills between Israel’s central highlands and the coastal plain.
-
D.
Even Ha’ezer
Even Ha’ezer is the section of the Shulchan Aruch that codifies Jewish law relating to marriage, divorce, and family matters.
-
E.
Yona Yahav
Yona Yahav is an Israeli lawyer and politician best known for serving as the long-time mayor of the city of Haifa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.