Triple
T17334121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premium Voyageur |
E420889
|
entity |
| Predicate | fareFamily |
P127048
|
FINISHED |
| Object | Air France long‑haul cabins |
—
|
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: Air France long‑haul cabins | Statement: [Premium Voyageur, fareFamily, Air France long‑haul cabins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareFamily Context triple: [Premium Voyageur, fareFamily, Air France long‑haul cabins]
-
A.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
B.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
-
C.
familyType
Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
-
D.
familia
Indicates a familial relationship or bond between entities, such as being members of the same family.
-
E.
familyRide
Indicates that one entity participates in a ride or journey together with their family members.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.