Triple
T24321476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airside C (Tampa International Airport) |
E612973
|
entity |
| Predicate | hasSecurityCheckpointLocation |
P155548
|
FINISHED |
| Object | main terminal |
—
|
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: main terminal | Statement: [Airside C (Tampa International Airport), hasSecurityCheckpointLocation, main terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityCheckpointLocation Context triple: [Airside C (Tampa International Airport), hasSecurityCheckpointLocation, main terminal]
-
A.
hasCustomsCheckpoint
Indicates that a location or route includes an official customs inspection point where goods, vehicles, or people are checked for compliance with border regulations.
-
B.
hasCheckInLocation
Indicates that an entity performs or is associated with a check-in action at a specific location.
-
C.
hasSecurityScreening
Indicates that an entity is subject to, or has undergone, a security screening process.
-
D.
hasPassengerCheckInAccess
Indicates that an entity is permitted to perform or access passenger check-in functions for a given transport service or location.
-
E.
hasHighSecurityFacility
Indicates that an entity possesses or operates a facility characterized by a high level of security measures and protections.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ac7fc08190993f707f2f97e7f5 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:51 a.m.