Triple
T9501432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham Region |
E229148
|
entity |
| Predicate | censusDivisionType |
P88971
|
FINISHED |
| Object | regional municipality |
—
|
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: regional municipality | Statement: [Durham Region, censusDivisionType, regional municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censusDivisionType Context triple: [Durham Region, censusDivisionType, regional municipality]
-
A.
censusSubdivisionType
Indicates the specific administrative or geographic category assigned to a census subdivision (e.g., city, town, rural area) within a census system.
-
B.
sharesFederalDivisionType
Indicates that two entities are associated with the same type of federal administrative or electoral division.
-
C.
countrySubdivisionType
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
D.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
-
E.
politicalSubdivisionType
Indicates the specific category or level of governmental or administrative division that characterizes a political subdivision.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983d4b708190a4dfef1246986a26 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca8c6b0f081908334d6c7cf80e03c |
completed | April 1, 2026, 5:10 a.m. |
Created at: March 30, 2026, 7:57 p.m.