Triple
T35639890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnipeg North |
E1029827
|
entity |
| Predicate | representationOrderYear |
P199758
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Winnipeg North, representationOrderYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationOrderYear Context triple: [Winnipeg North, representationOrderYear, 2003]
-
A.
orderYear
Indicates the calendar year in which an order was placed or became effective.
-
B.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
C.
yearObserved
Indicates the specific calendar year during which the referenced event, condition, or measurement was observed or recorded.
-
D.
definitionYear
Indicates the year in which something was formally defined, established, or given its official definition.
-
E.
originYear
Indicates the year in which something first originated, was created, or began.
- 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69ff5337e6f88190ae0418335477063c |
completed | May 9, 2026, 3:31 p.m. |
Created at: May 3, 2026, 4:05 p.m.