Triple
T8183667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Givat Shaul |
E191128
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Mount Herzl area |
E15588
|
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: Mount Herzl area | Statement: [Givat Shaul, adjacentTo, Mount Herzl area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Herzl area Context triple: [Givat Shaul, adjacentTo, Mount Herzl area]
-
A.
Mount Herzl
chosen
Mount Herzl is Israel’s national cemetery and a central memorial site in Jerusalem, serving as the burial place of prominent leaders and fallen soldiers.
-
B.
Givatayim Park
Givatayim Park is a central urban green space in the city of Givatayim, Israel, known for its recreational areas, walking paths, and cultural events.
-
C.
Ramat Hasharon
Ramat Hasharon is a city in Israel’s Tel Aviv District, known as an affluent suburban community and home to Israel’s national tennis center.
-
D.
Givat Ram
Givat Ram is a central neighborhood and campus area in Jerusalem that hosts major national institutions, including the Knesset and the Hebrew University’s main campus.
-
E.
Karmiel Park
Karmiel Park is a public recreational green space located in the city of Karmiel in northern Israel.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4f4ef88190ad346edad14b67ee |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf95fd5c81908391dc160723b9e9 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:41 p.m.