Triple
T33653789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avianca LifeMiles |
E862166
|
entity |
| Predicate | hasProgramNumber |
P24101
|
FINISHED |
| Object | unique membership ID per member |
—
|
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: unique membership ID per member | Statement: [Avianca LifeMiles, hasProgramNumber, unique membership ID per member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramNumber Context triple: [Avianca LifeMiles, hasProgramNumber, unique membership ID per member]
-
A.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
B.
hasProgramCode
chosen
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
C.
hasParentProgram
Indicates that a given program is hierarchically contained within or derived from another, higher-level program that serves as its parent.
-
D.
hasSignatureProgramme
Indicates that an entity is associated with or offers a distinctive, flagship programme that characterizes its core activities or identity.
-
E.
hasProgramTier
Indicates that an entity is associated with a specific level or tier within a defined program or scheme.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01b935e3948190a7af37b07938d618 |
completed | May 11, 2026, 11:10 a.m. |
| PD | Predicate disambiguation | batch_6a01b8d198b48190b01e16ac9ce7e7bd |
completed | May 11, 2026, 11:09 a.m. |
Created at: May 1, 2026, 1:42 a.m.