Triple
T5965726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haifa District |
E132745
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Umm al-Fahm
Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
|
E580792
|
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: Umm al-Fahm | Statement: [Haifa District, containsCity, Umm al-Fahm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umm al-Fahm Context triple: [Haifa District, containsCity, Umm al-Fahm]
-
A.
Nahariya
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
-
B.
Kfar Shmaryahu
Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
-
C.
Isfiya
Isfiya is a Druze-majority village and local council located on Mount Carmel in northern Israel.
-
D.
Kfar Saba
Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
-
E.
Ma'alot-Tarshiha
Ma'alot-Tarshiha is a mixed Jewish-Arab city in northern Israel known for its scenic Galilean setting and combined development-town and historic village character.
- 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: Umm al-Fahm Triple: [Haifa District, containsCity, Umm al-Fahm]
Generated description
Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Umm al-Fahm Target entity description: Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
-
A.
Nahariya
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
-
B.
Kfar Shmaryahu
Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
-
C.
Isfiya
Isfiya is a Druze-majority village and local council located on Mount Carmel in northern Israel.
-
D.
Kfar Saba
Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
-
E.
Ma'alot-Tarshiha
Ma'alot-Tarshiha is a mixed Jewish-Arab city in northern Israel known for its scenic Galilean setting and combined development-town and historic village character.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3ca1dc819098cde8ae5ec1d845 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2439f6cc08190bb7a4c6a0b7727c6 |
completed | March 24, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69c4fb66b8e8819090524d1ef12688a7 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc3065bc81908d95fbd3d4655c76 |
completed | March 26, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:03 p.m.