Triple
T4368011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary/Chicago International Airport |
E98824
|
entity |
| Predicate | hasAircraftMaintenanceServices |
P39380
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Gary/Chicago International Airport, hasAircraftMaintenanceServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAircraftMaintenanceServices Context triple: [Gary/Chicago International Airport, hasAircraftMaintenanceServices, yes]
-
A.
hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
-
B.
firstServiceAircraft
Indicates that the subject aircraft is the first of its type to enter operational service with the specified operator or organization.
-
C.
hasGroundHandlingServices
Indicates that an entity provides or is associated with ground handling services for another entity, typically in an aviation or transportation context.
-
D.
hasMaintenanceFacilities
chosen
Indicates that one entity provides or contains facilities where the other entity can be serviced, repaired, or maintained.
-
E.
hasGeneralAviationFacilities
Indicates that a location or airport provides facilities and services specifically for general aviation operations.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352034d3881909ed4b2f9eef5e823 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.