Triple
T5272756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASH |
E119298
|
entity |
| Predicate | airlineOperationsType |
P62766
|
FINISHED |
| Object | scheduled passenger services |
—
|
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: scheduled passenger services | Statement: [ASH, airlineOperationsType, scheduled passenger services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineOperationsType Context triple: [ASH, airlineOperationsType, scheduled passenger services]
-
A.
airlineCommencedOperations
Indicates that an airline began its official flight operations or commercial services on a specific date or at a specific time.
-
B.
hasAircraftOperationsType
Indicates the specific category or type of aircraft operations associated with an entity, such as commercial, military, or private use.
-
C.
operatedForAirline
Indicates that an aircraft or flight was operated on behalf of, or under the branding of, a particular airline.
-
D.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
E.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.