Triple
T7183744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Eastern Eastern Miles Platinum |
E167516
|
entity |
| Predicate | statusRecognitionOn |
P59271
|
FINISHED |
| Object | SkyTeam member airlines |
—
|
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: SkyTeam member airlines | Statement: [China Eastern Eastern Miles Platinum, statusRecognitionOn, SkyTeam member airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusRecognitionOn Context triple: [China Eastern Eastern Miles Platinum, statusRecognitionOn, SkyTeam member airlines]
-
A.
recognitionStatus
Indicates the current state or outcome of acknowledging, validating, or officially accepting something or someone.
-
B.
recognizesStatus
chosen
Indicates that one entity acknowledges or accepts the official status or standing of another entity.
-
C.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
D.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
-
E.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.