Triple
T25915728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvert County public transportation system |
E653030
|
entity |
| Predicate | targetRegionType |
P125896
|
FINISHED |
| Object | suburban areas |
—
|
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: suburban areas | Statement: [Calvert County public transportation system, targetRegionType, suburban areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetRegionType Context triple: [Calvert County public transportation system, targetRegionType, suburban areas]
-
A.
regionType
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
B.
typicalRegionType
chosen
Indicates that a region is of a characteristic or commonly occurring type for a given context or entity.
-
C.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
-
D.
typicalTargetRegion
Indicates the region or area that an action, process, or effect is most commonly directed toward or occurs in.
-
E.
usesRegionType
Indicates that one entity operates within, is configured for, or otherwise makes use of a specified type of region.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:31 a.m.