Triple
T36232557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington micropolitan area |
E891285
|
entity |
| Predicate | isRuralServingCenter |
P184790
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Washington micropolitan area, isRuralServingCenter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuralServingCenter Context triple: [Washington micropolitan area, isRuralServingCenter, yes]
-
A.
isRuralCentreFor
Indicates that one place functions as a primary service, administrative, or community hub for a surrounding rural area.
-
B.
isRegionalServiceCentre
Indicates that an entity functions as a regional service center responsible for providing services or support to a defined geographic area.
-
C.
isRuralServiceTown
Indicates that a town functions primarily as a service and support center for surrounding rural or agricultural areas.
-
D.
servesRuralArea
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
-
E.
isAgriculturalServiceCentre
Indicates that a location or facility functions as a center providing services and support related to agriculture.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5f89c5c8190825ed5d4317c540c |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b57aa0848190a22c31c3ff90e0ab |
completed | May 3, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:09 p.m.