Triple
T2230021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EgyptAir |
E48742
|
entity |
| Predicate | renamedToEgyptAir |
P36377
|
FINISHED |
| Object | 1971 |
—
|
LITERAL FINISHED |
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: 1971 | Statement: [EgyptAir, renamedToEgyptAir, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedToEgyptAir Context triple: [EgyptAir, renamedToEgyptAir, 1971]
-
A.
replacedAsMainAirportFor
Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
-
B.
successorAirline
Indicates that one airline has taken over, replaced, or continued the operations of another airline as its successor.
-
C.
firstFlownOn
Indicates the date or time at which something (typically an aircraft or spacecraft) made its initial flight.
-
D.
hasFormerAirport
Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
-
E.
replacedByForInternationalFlights
Indicates that one entity is superseded or substituted by another specifically in the context of international flights.
- F. None of above. chosen
Provenance (4 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc069e0ac8190bcda8cba9f5c7a5d |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.