Triple
T8660304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swissair |
E205529
|
entity |
| Predicate | SR111AccidentLocation |
P26084
|
FINISHED |
| Object | near Peggy's Cove, Nova Scotia, 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: near Peggy's Cove, Nova Scotia, Canada | Statement: [Swissair, SR111AccidentLocation, near Peggy's Cove, Nova Scotia, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SR111AccidentLocation Context triple: [Swissair, SR111AccidentLocation, near Peggy's Cove, Nova Scotia, Canada]
-
A.
siteOfAccident
chosen
Indicates the location where an accident occurred.
-
B.
resultOfAccident
Indicates that something exists or occurs as a consequence or outcome of an accident.
-
C.
involvedInAccident
Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
-
D.
accident
Indicates an unintended, unforeseen event or mishap occurring, often resulting in damage, injury, or disruption.
-
E.
causedAccident
Indicates that one entity is responsible for bringing about or initiating an accident involving another entity or situation.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:30 p.m.