Triple
T10524209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EgyptAir Flight 804 |
E248254
|
entity |
| Predicate | route |
P5619
|
FINISHED |
| Object |
Paris–Cairo
Paris–Cairo is an international air route linking the capital of France with the capital of Egypt.
|
E869326
|
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: Paris–Cairo | Statement: [EgyptAir Flight 804, route, Paris–Cairo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris–Cairo Context triple: [EgyptAir Flight 804, route, Paris–Cairo]
-
A.
Paris–Toulouse
Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
-
B.
Paris–Bucharest
Paris–Bucharest is a historic long-distance rail connection linking the French capital with Romania’s capital, notably served by the famed Orient Express.
-
C.
Paris–Côte d’Azur
Paris–Côte d’Azur was a prestigious French express train service linking Paris with the French Riviera, renowned for its luxury and popularity among holiday travelers.
-
D.
Paris to Dakar
Paris to Dakar was the iconic transcontinental route of the early Dakar Rally, running from the French capital across Europe and the Sahara Desert to Senegal’s capital on the Atlantic coast.
-
E.
Paris–Brest
Paris–Brest is a long-distance French railway service connecting Paris with the city of Brest in Brittany.
- 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: Paris–Cairo Triple: [EgyptAir Flight 804, route, Paris–Cairo]
Generated description
Paris–Cairo is an international air route linking the capital of France with the capital of Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paris–Cairo Target entity description: Paris–Cairo is an international air route linking the capital of France with the capital of Egypt.
-
A.
Paris–Toulouse
Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
-
B.
Paris–Bucharest
Paris–Bucharest is a historic long-distance rail connection linking the French capital with Romania’s capital, notably served by the famed Orient Express.
-
C.
Paris–Côte d’Azur
Paris–Côte d’Azur was a prestigious French express train service linking Paris with the French Riviera, renowned for its luxury and popularity among holiday travelers.
-
D.
Paris to Dakar
Paris to Dakar was the iconic transcontinental route of the early Dakar Rally, running from the French capital across Europe and the Sahara Desert to Senegal’s capital on the Atlantic coast.
-
E.
Paris–Brest
Paris–Brest is a long-distance French railway service connecting Paris with the city of Brest in Brittany.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4020c8190b78c49da086df757 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e1c73208190aa3d3e30aa4482ac |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.