Triple
T2459850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cresco micropolitan area |
E54506
|
entity |
| Predicate | statisticalType |
P40641
|
FINISHED |
| Object | micropolitan statistical area |
—
|
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: micropolitan statistical area | Statement: [Cresco micropolitan area, statisticalType, micropolitan statistical area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticalType Context triple: [Cresco micropolitan area, statisticalType, micropolitan statistical area]
-
A.
statisticsType
Indicates the specific kind or category of statistical measure or analysis associated with an entity or dataset.
-
B.
statutoryType
Indicates the specific legal or statutory category under which something is formally classified or regulated.
-
C.
statisticalDefinitionUsedBy
Indicates that a particular statistical definition is employed or applied by a given entity (such as a method, model, or analysis).
-
D.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
E.
metricType
Indicates the specific category or kind of measurement that a given metric represents.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.