Triple
T7036595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Givat Ram |
E163399
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Givat Mordechai |
E191128
|
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: Givat Mordechai | Statement: [Givat Ram, adjacentTo, Givat Mordechai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Givat Mordechai Context triple: [Givat Ram, adjacentTo, Givat Mordechai]
-
A.
Migdal Moshe Aviv
Migdal Moshe Aviv is a prominent skyscraper in Ramat Gan, Israel, known as one of the tallest and most recognizable office and residential towers in the country.
-
B.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
-
C.
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.
-
D.
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.
-
E.
Givat Shaul
chosen
Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e220508c8190b8950cf38280b8c2 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775a6e1a08190af7d121cb854118e |
completed | March 28, 2026, 6:31 a.m. |
Created at: March 27, 2026, 2:36 p.m.