Triple
T18749232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying Returns |
E458481
|
entity |
| Predicate | programTarget |
P133401
|
FINISHED |
| Object | retention of Air India customers |
—
|
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: retention of Air India customers | Statement: [Flying Returns, programTarget, retention of Air India customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programTarget Context triple: [Flying Returns, programTarget, retention of Air India customers]
-
A.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
B.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
C.
plannedTarget
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action or operation.
-
D.
backendTarget
Indicates that one entity serves as the backend system, service, or endpoint that another entity connects to or depends on for processing or functionality.
-
E.
componentProgram
Indicates that one entity is a component or module that forms part of a larger program or software system represented by the other entity.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579eb7350819099d7291207781116 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.