Triple
T34439760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQ22 |
E884064
|
entity |
| Predicate | flagshipRouteOf |
P178942
|
FINISHED |
| Object | Singapore Airlines |
—
|
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: Singapore Airlines | Statement: [SQ22, flagshipRouteOf, Singapore Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipRouteOf Context triple: [SQ22, flagshipRouteOf, Singapore Airlines]
-
A.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
B.
flagshipCity
Indicates that a city serves as the primary, most representative, or leading example within a larger group, organization, or context.
-
C.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
D.
stateFlagshipOf
Indicates that an institution holds the primary or leading status designated by a particular state, often as its main or most prominent representative in a given domain.
-
E.
flagshipStationFor
Indicates that one station serves as the primary or leading representative station for a particular network, organization, or service.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.