Triple
T13089557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swoop |
E310423
|
entity |
| Predicate | competitionSegment |
P17867
|
FINISHED |
| Object | other ultra-low-cost carriers in Canada |
—
|
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: other ultra-low-cost carriers in Canada | Statement: [Swoop, competitionSegment, other ultra-low-cost carriers in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionSegment Context triple: [Swoop, competitionSegment, other ultra-low-cost carriers in Canada]
-
A.
competitionOf
chosen
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
B.
competitionElement
Indicates that one entity is a component, phase, or sub-event within a larger competitive event or contest.
-
C.
competitionClass
Indicates that one entity is classified into a particular competitive category or level within a competition or contest.
-
D.
competitionSurface
Indicates the type of surface or medium on which a competition or contest takes place.
-
E.
competitiveDiscipline
Indicates a relationship where an entity participates in or is associated with a structured, rule-based activity or field in which individuals or groups compete against each other.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98138a1d481908a139f2f67eb3472 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:03 p.m.