Triple
T499782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qena |
E10374
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Hurghada
Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
|
E72341
|
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: Hurghada | Statement: [Qena, nearbyCity, Hurghada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurghada Context triple: [Qena, nearbyCity, Hurghada]
-
A.
Sharm El Sheikh
Sharm El Sheikh is a popular Egyptian resort city on the southern tip of the Sinai Peninsula, known for its Red Sea beaches, coral reefs, and diving.
-
B.
Dahab
Dahab is a small Egyptian resort town on the southeast coast of the Sinai Peninsula, known for its laid-back atmosphere, diving spots, and windsurfing.
-
C.
Zagazig
Zagazig is a city in Egypt’s Nile Delta that serves as an important regional center for agriculture, education, and transportation.
-
D.
Marsa Matruh
Marsa Matruh is a coastal city in northwestern Egypt on the Mediterranean Sea, known as a popular summer resort and gateway to nearby beaches and historical sites.
-
E.
Cairo
Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
- 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: Hurghada Triple: [Qena, nearbyCity, Hurghada]
Generated description
Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurghada Target entity description: Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
-
A.
Sharm El Sheikh
Sharm El Sheikh is a popular Egyptian resort city on the southern tip of the Sinai Peninsula, known for its Red Sea beaches, coral reefs, and diving.
-
B.
Dahab
Dahab is a small Egyptian resort town on the southeast coast of the Sinai Peninsula, known for its laid-back atmosphere, diving spots, and windsurfing.
-
C.
Zagazig
Zagazig is a city in Egypt’s Nile Delta that serves as an important regional center for agriculture, education, and transportation.
-
D.
Marsa Matruh
Marsa Matruh is a coastal city in northwestern Egypt on the Mediterranean Sea, known as a popular summer resort and gateway to nearby beaches and historical sites.
-
E.
Cairo
Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f13096248190a622a58dcf540b00 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bb88f88190b1de92ca77606d2f |
completed | March 2, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69a503b501388190baed19e781c24b4d |
completed | March 2, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5077cf14081909478ea1e0fd3eff5 |
completed | March 2, 2026, 3:43 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.