Triple
T28168583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Nova |
E715392
|
entity |
| Predicate | hasCensusDivisions |
P138716
|
FINISHED |
| Object | Pictou County |
—
|
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: Pictou County | Statement: [Central Nova, hasCensusDivisions, Pictou County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCensusDivisions Context triple: [Central Nova, hasCensusDivisions, Pictou County]
-
A.
hasCensusDivisionCode
Indicates that an entity is associated with a specific census division identified by a particular code.
-
B.
hasCensusSubdivision
chosen
Indicates that an entity (typically a larger administrative area) includes or is associated with a specific census-defined subdivision within it.
-
C.
hasCensusAreas
Indicates that an entity is associated with one or more defined census areas used for demographic or statistical purposes.
-
D.
demographicCensusDivision
Indicates the census-defined demographic division or region with which an entity is associated.
-
E.
hasNeighborCensusDivision
Indicates that one census division is geographically adjacent to another census division.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 10:11 p.m.