Triple
T33653209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KrisFlyer Elite Gold |
E862152
|
entity |
| Predicate | airportRecognition |
P178659
|
FINISHED |
| Object | priority lane eligibility at selected airports |
—
|
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: priority lane eligibility at selected airports | Statement: [KrisFlyer Elite Gold, airportRecognition, priority lane eligibility at selected airports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportRecognition Context triple: [KrisFlyer Elite Gold, airportRecognition, priority lane eligibility at selected airports]
-
A.
airportDesignation
Indicates that an entity is officially designated or classified as an airport.
-
B.
airportCodeContext
Indicates that an airport code is being used or interpreted within a specific contextual framework (such as a region, system, or standard) that defines its meaning.
-
C.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
D.
airportOfficialName
Indicates the officially designated full name of an airport as recognized by authorities or governing bodies.
-
E.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:42 a.m.