Triple
T6734925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Givatayim |
E153728
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Bnei Brak |
E102846
|
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: Bnei Brak | Statement: [Givatayim, adjacentTo, Bnei Brak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bnei Brak Context triple: [Givatayim, adjacentTo, Bnei Brak]
-
A.
Bnei Brak
chosen
Bnei Brak is a densely populated city in Israel known as a major center of ultra-Orthodox Jewish life and culture.
-
B.
Zikhron Ya’akov
Zikhron Ya’akov is a historic town in northern Israel known for its early Zionist agricultural settlement, wineries, and scenic location overlooking the Mediterranean.
-
C.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
D.
Kiryat Bialik
Kiryat Bialik is a coastal city in northern Israel that forms part of the Haifa metropolitan area.
-
E.
Givatayim
Givatayim is a small, densely populated city in Israel’s Tel Aviv metropolitan area, known for its residential character and proximity to major urban centers.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.