Triple
T7184302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road 40, Israel |
E167529
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Hatzerim
Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
|
E649147
|
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: Hatzerim | Statement: [Road 40, Israel, passesNear, Hatzerim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatzerim Context triple: [Road 40, Israel, passesNear, Hatzerim]
-
A.
Har HaTzofim
Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
-
B.
Bein haMetzarim
Bein haMetzarim is a Jewish mourning period in midsummer commemorating the calamities and destruction associated with the First and Second Temples in Jerusalem.
-
C.
Ganei Tikva
Ganei Tikva is a small suburban town in central Israel known for its residential character and proximity to Tel Aviv.
-
D.
Ashalim
Ashalim is a small community settlement in Israel’s Negev desert, known for its nearby large-scale solar power plants and desert research and tourism activities.
-
E.
HaRosh
HaRosh, also known as the Rosh, was a prominent medieval rabbi and halachic authority whose legal rulings significantly shaped later Jewish law.
- 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: Hatzerim Triple: [Road 40, Israel, passesNear, Hatzerim]
Generated description
Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatzerim Target entity description: Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
-
A.
Har HaTzofim
Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
-
B.
Bein haMetzarim
Bein haMetzarim is a Jewish mourning period in midsummer commemorating the calamities and destruction associated with the First and Second Temples in Jerusalem.
-
C.
Ganei Tikva
Ganei Tikva is a small suburban town in central Israel known for its residential character and proximity to Tel Aviv.
-
D.
Ashalim
Ashalim is a small community settlement in Israel’s Negev desert, known for its nearby large-scale solar power plants and desert research and tourism activities.
-
E.
HaRosh
HaRosh, also known as the Rosh, was a prominent medieval rabbi and halachic authority whose legal rulings significantly shaped later Jewish law.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8de114c8190ad8fde0654526482 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf903f1c819098de137c8c43ca34 |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c0a8985c8190894b28c9b733a205 |
completed | March 28, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c1352f8881909c3a7d03a5f2a5b1 |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:49 p.m.