Triple
T34819228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Value Alliance |
E1003721
|
entity |
| Predicate | formerAssociate |
P1168
|
FINISHED |
| Object | Jetstar Asia Airways |
—
|
NE NERFINISHED |
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: Jetstar Asia Airways | Statement: [Value Alliance, formerAssociate, Jetstar Asia Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerAssociate Context triple: [Value Alliance, formerAssociate, Jetstar Asia Airways]
-
A.
formerAnchor
Indicates that an entity previously held the role of anchor but no longer does so.
-
B.
former
Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
-
C.
formerMemberOf
chosen
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
-
D.
formerDirector
Indicates that one entity previously held the position of director of the other entity but no longer does.
-
E.
formerAccess
Indicates that an entity previously had access to another entity or resource but no longer does.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
Created at: May 3, 2026, 4 p.m.