Triple
T5993772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colony of New Brunswick |
E133415
|
entity |
| Predicate | statusAfter1867 |
P67899
|
FINISHED |
| Object | Canadian province |
—
|
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: Canadian province | Statement: [Colony of New Brunswick, statusAfter1867, Canadian province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1867 Context triple: [Colony of New Brunswick, statusAfter1867, Canadian province]
-
A.
statusAfter1857
Indicates the condition or state of an entity as it existed after the year 1857, typically in contrast to its prior status.
-
B.
statusAfter1815
Indicates the status or condition of an entity as it existed after the year 1815.
-
C.
statusAfter1865
Indicates the condition or state of an entity as it existed after the year 1865.
-
D.
statusAfter1917
Indicates the condition or state of an entity as it existed after the year 1917, typically in contrast to its prior status.
-
E.
statusAfter1996
Indicates the status or condition of an entity as it exists after the year 1996.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e92e1448190bbf961a8243082ee |
completed | March 22, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:05 p.m.