Triple
T22356729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rehovot Subdistrict |
E552672
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yavne |
—
|
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: Yavne | Statement: [Rehovot Subdistrict, contains, Yavne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yavne Context triple: [Rehovot Subdistrict, contains, Yavne]
-
A.
Yavneh
chosen
Yavneh is an ancient Jewish center of learning in the Land of Israel that became a key hub for rabbinic scholarship and religious reorganization after the destruction of the Second Temple.
-
B.
Yehud
Yehud is a city in central Israel, historically significant as a Jewish settlement area and now part of the Yehud-Monosson municipality near Tel Aviv.
-
C.
الناصرة
الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
-
D.
Kiryat Ekron
Kiryat Ekron is a small town in central Israel, located near the city of Rehovot and known for its mixed residential and agricultural character.
-
E.
Banias
Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.