Triple
T6681308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Terminal (Tampa International Airport) |
E151985
|
entity |
| Predicate | hasBaggageClaimFor |
P30952
|
FINISHED |
| Object | arriving passengers from all airsides |
—
|
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: arriving passengers from all airsides | Statement: [Main Terminal (Tampa International Airport), hasBaggageClaimFor, arriving passengers from all airsides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaggageClaimFor Context triple: [Main Terminal (Tampa International Airport), hasBaggageClaimFor, arriving passengers from all airsides]
-
A.
hasBaggageClaim
chosen
Indicates that a location, typically a transportation hub, includes or provides a baggage claim area for retrieving luggage.
-
B.
hasBaggageCheck
Indicates that an entity provides or is associated with a service or facility for checking in baggage.
-
C.
hasCheckedBaggage
Indicates that an entity is associated with baggage that has been checked in for transport, typically for a trip or flight.
-
D.
hasBaggageService
Indicates that an entity provides or supports services related to handling, storing, or managing baggage for others.
-
E.
hasBaggageSystem
Indicates that an entity is equipped with or utilizes a baggage handling system.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.