Triple
T29520622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR111 |
E748923
|
entity |
| Predicate | crashSiteProvince |
P166990
|
FINISHED |
| Object | Nova Scotia |
—
|
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: Nova Scotia | Statement: [SR111, crashSiteProvince, Nova Scotia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crashSiteProvince Context triple: [SR111, crashSiteProvince, Nova Scotia]
-
A.
destinationProvince
Indicates the province that serves as the endpoint or target location of a movement, transfer, or route.
-
B.
sourceProvince
Indicates the province from which something or someone originates or is sourced.
-
C.
affectedProvince
Indicates that a particular province is impacted or influenced by a specified event, action, or condition.
-
D.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
E.
governingProvince
Indicates that one administrative unit or authority has official governing control over a specified province.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c98a0988190a56084c196e39c13 |
completed | May 2, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:41 p.m.