Triple
T2527610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glasgow Prestwick Airport |
E56074
|
entity |
| Predicate | hasCheckInDesks |
P24791
|
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: [Glasgow Prestwick Airport, hasCheckInDesks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheckInDesks Context triple: [Glasgow Prestwick Airport, hasCheckInDesks, yes]
-
A.
hasCheckInSystem
Indicates that an entity uses or is equipped with a system for registering or recording check-ins.
-
B.
hasFrontDesk
Indicates that one entity provides or is equipped with a front desk service or reception area for another entity.
-
C.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
D.
hasCheckInCounters
chosen
Indicates that an entity is associated with one or more check-in counters used for processing arrivals or registrations.
-
E.
hasOccupancyStatus
Indicates the current usage or availability state of something, such as whether it is occupied, vacant, or otherwise in use.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd257ea908190a010c0b785853546 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.