Triple
T7036594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Givat Ram |
E163399
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
|
E647945
|
NE FINISHED |
How this triple was built (4 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: Kiryat Moshe | Statement: [Givat Ram, adjacentTo, Kiryat Moshe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiryat Moshe Context triple: [Givat Ram, adjacentTo, Kiryat Moshe]
-
A.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
-
B.
Kiryat Haim
Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
-
C.
Kiryat Shmona
Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
-
D.
Kiryat David
Kiryat David is a residential neighborhood in the city of Rehovot, Israel.
-
E.
Kiryat Malakhi
Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kiryat Moshe Triple: [Givat Ram, adjacentTo, Kiryat Moshe]
Generated description
Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiryat Moshe Target entity description: Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
-
A.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
-
B.
Kiryat Haim
Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
-
C.
Kiryat Shmona
Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
-
D.
Kiryat David
Kiryat David is a residential neighborhood in the city of Rehovot, Israel.
-
E.
Kiryat Malakhi
Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
- F. None of above. chosen
Provenance (5 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_69c7bf7363b88190a082915ebac4f575 |
completed | March 28, 2026, 11:45 a.m. |
| NEDg | Description generation | batch_69c7bfe7143481908c4da6b67f47f19e |
completed | March 28, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c05fd088819083df4c7167216ca2 |
completed | March 28, 2026, 11:49 a.m. |
Created at: March 27, 2026, 2:36 p.m.