Triple
T18275836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haim Arlosoroff |
E437730
|
entity |
| Predicate | commemoratedBy |
P500
|
FINISHED |
| Object |
Kfar Haim
Kfar Haim is an agricultural moshav in central Israel named in memory of Zionist leader Haim Arlosoroff.
|
E1326272
|
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: Kfar Haim | Statement: [Haim Arlosoroff, commemoratedBy, Kfar Haim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kfar Haim Context triple: [Haim Arlosoroff, commemoratedBy, Kfar Haim]
-
A.
Kfar Shmaryahu
Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
-
B.
Kfar Saba
Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
-
C.
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.
-
D.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
-
E.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
- 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: Kfar Haim Triple: [Haim Arlosoroff, commemoratedBy, Kfar Haim]
Generated description
Kfar Haim is an agricultural moshav in central Israel named in memory of Zionist leader Haim Arlosoroff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kfar Haim Target entity description: Kfar Haim is an agricultural moshav in central Israel named in memory of Zionist leader Haim Arlosoroff.
-
A.
Kfar Shmaryahu
Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
-
B.
Kfar Saba
Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
-
C.
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.
-
D.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
-
E.
Kiryat Moshe
Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50051bccc8190832eacdb6945d6b7 |
completed | April 19, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f1441ac8190af8ad50ea50c31ec |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a0440c2b1788190a61117c008e8e2a3 |
completed | May 13, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04412ce3d481909044236be107de8d |
completed | May 13, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:34 a.m.