Triple
T15371942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyersdale, Pennsylvania |
E367568
|
entity |
| Predicate | isRuralHubFor |
P45725
|
FINISHED |
| Object | southern Somerset County |
—
|
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: southern Somerset County | Statement: [Meyersdale, Pennsylvania, isRuralHubFor, southern Somerset County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuralHubFor Context triple: [Meyersdale, Pennsylvania, isRuralHubFor, southern Somerset County]
-
A.
isResidentialHubIn
Indicates that a location functions primarily as a residential center or hub within a specified larger area or region.
-
B.
isSuburbanHub
Indicates that a location functions as a primary activity or transit center within a suburban area, serving surrounding neighborhoods.
-
C.
isInRuralAreaOf
chosen
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
D.
isRural
Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
-
E.
isUrbanHubFor
Indicates that a location functions as a central urban focal point or primary service center for another area or population.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:18 a.m.