Triple
T29125370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narita International Airport Terminal 3 |
E738209
|
entity |
| Predicate | hasPassengerServiceLevel |
P193599
|
FINISHED |
| Object | no-frills |
—
|
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: no-frills | Statement: [Narita International Airport Terminal 3, hasPassengerServiceLevel, no-frills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerServiceLevel Context triple: [Narita International Airport Terminal 3, hasPassengerServiceLevel, no-frills]
-
A.
hasPassengerServicesType
Indicates the type or category of passenger services that are provided or associated with an entity.
-
B.
hasPassengerServiceBrand
Indicates that a passenger transport service operates under or is associated with a specific commercial brand or service name.
-
C.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
D.
hasPassengerOnlyService
Indicates that the service provided involves only the transportation of passengers, with no freight or cargo component.
-
E.
passengerLevel
Indicates the relative status, class, or priority assigned to a passenger within a transportation or service context.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: April 28, 2026, 11:28 a.m.