Triple
T13467166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosh Pinna |
E311533
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Hatzor HaGlilit
Hatzor HaGlilit is a town in northern Israel’s Upper Galilee region, known for its proximity to historic sites and scenic landscapes.
|
E1042658
|
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: Hatzor HaGlilit | Statement: [Rosh Pinna, locatedNear, Hatzor HaGlilit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatzor HaGlilit Context triple: [Rosh Pinna, locatedNear, Hatzor HaGlilit]
-
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.
Nof HaGalil
Nof HaGalil is an Israeli city in the Galilee region, established as a Jewish suburb of Nazareth and later renamed to reflect its scenic hilltop location.
-
C.
Mishmar HaSharon
Mishmar HaSharon is a kibbutz in central Israel known as the birthplace of former Prime Minister Ehud Barak.
-
D.
Hod HaSharon
Hod HaSharon is a city in central Israel, known as a suburban community within the Tel Aviv metropolitan area.
-
E.
Tel HaShomer
Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
- 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: Hatzor HaGlilit Triple: [Rosh Pinna, locatedNear, Hatzor HaGlilit]
Generated description
Hatzor HaGlilit is a town in northern Israel’s Upper Galilee region, known for its proximity to historic sites and scenic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatzor HaGlilit Target entity description: Hatzor HaGlilit is a town in northern Israel’s Upper Galilee region, known for its proximity to historic sites and scenic landscapes.
-
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.
Nof HaGalil
Nof HaGalil is an Israeli city in the Galilee region, established as a Jewish suburb of Nazareth and later renamed to reflect its scenic hilltop location.
-
C.
Mishmar HaSharon
Mishmar HaSharon is a kibbutz in central Israel known as the birthplace of former Prime Minister Ehud Barak.
-
D.
Hod HaSharon
Hod HaSharon is a city in central Israel, known as a suburban community within the Tel Aviv metropolitan area.
-
E.
Tel HaShomer
Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf101a1081909f2aba6da47baacc |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74629f1408190b54194fe794be39a |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f7493168a481908f99283914b39db5 |
completed | May 3, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7499aa5ac8190a93afda115694795 |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.