Triple
T10524409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels Airlines Miles & More Senator |
E248259
|
entity |
| Predicate | requiresProgram |
P42401
|
FINISHED |
| Object | Miles & More membership |
—
|
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: Miles & More membership | Statement: [Brussels Airlines Miles & More Senator, requiresProgram, Miles & More membership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresProgram Context triple: [Brussels Airlines Miles & More Senator, requiresProgram, Miles & More membership]
-
A.
requiresSoftware
Indicates that one entity depends on specific software being present or installed in order to function, operate, or be used.
-
B.
requiresApplicationTo
chosen
Indicates that one entity can only access, use, or obtain another entity if a formal application or request process is completed.
-
C.
requires
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
D.
requiresProperty
Indicates that one entity depends on another entity possessing a specific property or attribute in order for a condition, action, or relationship to hold.
-
E.
requiresConfiguration
Indicates that one entity depends on another to be set up or configured before it can function or be used.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4020c8190b78c49da086df757 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:29 p.m.