Triple
T36258420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EgyptAir Cargo |
E892010
|
entity |
| Predicate | flagCarrierCargoArmOf |
P177474
|
FINISHED |
| Object | EgyptAir |
—
|
NE NERFINISHED |
How this triple was built (2 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: EgyptAir | Statement: [EgyptAir Cargo, flagCarrierCargoArmOf, EgyptAir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagCarrierCargoArmOf Context triple: [EgyptAir Cargo, flagCarrierCargoArmOf, EgyptAir]
-
A.
flagCarrierFor
chosen
Indicates that one entity serves as the official flag carrier or representative airline for another entity, typically a country or region.
-
B.
flagOrInsignia
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
C.
flagCarrierProgramOf
Indicates that an airline serves as the designated national flag carrier within a specific airline loyalty or program context.
-
D.
flagshipCarrierOf
Indicates that one entity serves as the primary or most prominent carrier (such as an airline or telecommunications provider) representing or associated with another entity, typically a country, brand, or organization.
-
E.
isWarEnsignOf
Indicates that one entity is the war ensign (a specific military or wartime flag) representing or belonging to another entity.
- F. None of above.
Provenance (3 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5ffa4248190973a99bcacb02b60 |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.