Triple
T2989676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Airways Flight 1549 |
E80715
|
entity |
| Predicate | birdSpeciesInvolved |
P29974
|
FINISHED |
| Object | Canada goose |
—
|
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: Canada goose | Statement: [US Airways Flight 1549, birdSpeciesInvolved, Canada goose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birdSpeciesInvolved Context triple: [US Airways Flight 1549, birdSpeciesInvolved, Canada goose]
-
A.
hasBirdSpecies
chosen
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
B.
majorBirdGroups
Indicates that the subject entity represents a major taxonomic or evolutionary grouping within birds that includes the object entity as a member or component.
-
C.
birdCallsRepresented
Indicates that bird vocalizations are encoded, depicted, or otherwise symbolically represented in some medium or form.
-
D.
isMostNumerousBirdSpecies
Indicates that the subject bird species has the largest population size compared to all other bird species in the relevant context.
-
E.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99dcdb00819092ca5f10396408e0 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.