Triple
T8819736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division No. 10, Newfoundland and Labrador |
E209870
|
entity |
| Predicate | censusDivisionNumber |
P30519
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Division No. 10, Newfoundland and Labrador, censusDivisionNumber, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censusDivisionNumber Context triple: [Division No. 10, Newfoundland and Labrador, censusDivisionNumber, 10]
-
A.
federalDivisionNumbering
Indicates the numbering or identifier assigned to a federal administrative or electoral division within a larger federal system.
-
B.
censusNumber
Indicates the unique identifier or count assigned to an entity within an official census record.
-
C.
censusRegion
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
-
D.
formerFederalElectoralDistrictNumber
Indicates that an entity was previously designated with a specific federal electoral district number before being restructured, renumbered, or abolished.
-
E.
hasDivisionCode
chosen
Indicates that an entity is associated with a specific division identifier or code within an organizational or classification structure.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600fbbac8190ad36d93fff60a33f |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.