Triple
T17255393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCT |
E418866
|
entity |
| Predicate | associatedWithAirTransport |
P110527
|
FINISHED |
| Object | commercial passenger flights |
—
|
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: commercial passenger flights | Statement: [MCT, associatedWithAirTransport, commercial passenger flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAirTransport Context triple: [MCT, associatedWithAirTransport, commercial passenger flights]
-
A.
associatedWithFlight
Indicates a relationship where an entity is linked or connected to a specific flight, such as by participation, operation, or relevance.
-
B.
associatedWithAirlineOperations
Indicates a relationship in which an entity is connected to, involved in, or relevant to the operations and activities of an airline.
-
C.
associatedWithCarrierAircraft
Indicates a relationship where something is linked or connected to a carrier-based aircraft, such as being used by, transported on, or otherwise functionally related to it.
-
D.
airTransportableBy
Indicates that something can be transported or carried by air using a specific aircraft or air transport method.
-
E.
associatedFlightType
chosen
Indicates a relationship where one entity is linked to, or characterized by, a particular type or category of flight.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6c362c819088965c6e05f33faf |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.