Triple
T1433097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazareth Illit |
E30494
|
entity |
| Predicate | nameChangedTo |
P5948
|
FINISHED |
| Object | Nof HaGalil |
E195862
|
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: Nof HaGalil | Statement: [Nazareth Illit, nameChangedTo, Nof HaGalil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nof HaGalil Context triple: [Nazareth Illit, nameChangedTo, Nof HaGalil]
-
A.
Nof HaGalil
chosen
Nof HaGalil is an Israeli city in the Galilee region, established as a Jewish suburb of Nazareth and later renamed to reflect its scenic hilltop location.
-
B.
Nahariya
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
-
C.
Giv'at Shmuel
Giv'at Shmuel is a city in central Israel, part of the Tel Aviv metropolitan area and known for its largely religious-Zionist community and proximity to Bar-Ilan University.
-
D.
Ma'alot-Tarshiha
Ma'alot-Tarshiha is a mixed Jewish-Arab city in northern Israel known for its scenic Galilean setting and combined development-town and historic village character.
-
E.
Yokneam Illit
Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4df1e3c819086646b709021d7f0 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada962149881908c6ecba8347e22d7 |
completed | March 8, 2026, 4:52 p.m. |
Created at: March 1, 2026, 8 p.m.