Triple
T35741054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky metropolitan areas |
E1033032
|
entity |
| Predicate | timeOfDefinition |
P126130
|
FINISHED |
| Object | updated after each decennial census |
—
|
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: updated after each decennial census | Statement: [Kentucky metropolitan areas, timeOfDefinition, updated after each decennial census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDefinition Context triple: [Kentucky metropolitan areas, timeOfDefinition, updated after each decennial census]
-
A.
timeDefinite
Indicates that the associated event or state occurs at a clearly specified, fixed point or interval in time.
-
B.
timeOfCodification
Indicates the specific point in time at which something (such as a rule, law, or concept) was formally codified or recorded.
-
C.
timeOfEvaluation
Indicates the specific time or moment at which an assessment, measurement, or judgment is made about an entity or situation.
-
D.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
E.
hasTemporalDefinition
chosen
Indicates that something is associated with a definition or specification that is constrained or characterized by time.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 3, 2026, 4:06 p.m.