Triple
T10414002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air New Zealand Airpoints Gold |
E245468
|
entity |
| Predicate | statusLevelWithinProgram |
P94017
|
FINISHED |
| Object | Gold |
—
|
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: Gold | Statement: [Air New Zealand Airpoints Gold, statusLevelWithinProgram, Gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusLevelWithinProgram Context triple: [Air New Zealand Airpoints Gold, statusLevelWithinProgram, Gold]
-
A.
statusLevelAbove
Indicates that one entity’s status level is higher or more advanced than another entity’s status level.
-
B.
programLevel
Indicates the hierarchical or categorical level at which a program is defined or operates (e.g., undergraduate, graduate, or other tiers).
-
C.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
D.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
-
E.
statusQualificationMetric
Indicates a metric that qualifies, evaluates, or characterizes the status or condition of something in a measurable way.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:10 p.m.