Triple
T11095329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai Smile |
E262361
|
entity |
| Predicate | airlineAllianceRole |
P97198
|
FINISHED |
| Object | feeder for Thai Airways and Star Alliance network |
—
|
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: feeder for Thai Airways and Star Alliance network | Statement: [Thai Smile, airlineAllianceRole, feeder for Thai Airways and Star Alliance network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineAllianceRole Context triple: [Thai Smile, airlineAllianceRole, feeder for Thai Airways and Star Alliance network]
-
A.
airlineAllianceMembership
Indicates that an airline is a member of a specific airline alliance.
-
B.
airlineAllianceRelationship
Indicates that two or more airlines are connected through a formal alliance or partnership arrangement.
-
C.
airlineAllianceStatus
Indicates the formal alliance membership or partnership status that exists between an airline and an airline alliance.
-
D.
airlineAllianceType
Indicates the specific airline alliance or partnership group to which an airline or flight operation belongs.
-
E.
airlineAllianceContext
Indicates the contextual relationship between an airline and its membership or participation status within a specific airline alliance.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0897188190b6c293b44990b3d4 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.