Triple
T3787778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dung Gate |
E85568
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Silwan |
E276696
|
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: Silwan | Statement: [Dung Gate, adjacentTo, Silwan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silwan Context triple: [Dung Gate, adjacentTo, Silwan]
-
A.
Silwan
chosen
Silwan is a predominantly Palestinian neighborhood in East Jerusalem known for its historical significance, archaeological sites, and ongoing political and legal disputes over land and housing.
-
B.
Givat Shaul
Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
-
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.
Ramat Aviv
Ramat Aviv is a residential neighborhood in northwestern Tel Aviv, Israel, known for its academic institutions, including Tel Aviv University, and its relatively affluent, suburban 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42e430081908d032dcdcef20fc5 |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5336b8d308190a1886ab637173b35 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:13 p.m.