Triple
T20276207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Webster County School District |
E503022
|
entity |
| Predicate | hasTypeOfCommunityServed |
P132412
|
FINISHED |
| Object | rural community |
—
|
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: rural community | Statement: [Webster County School District, hasTypeOfCommunityServed, rural community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCommunityServed Context triple: [Webster County School District, hasTypeOfCommunityServed, rural community]
-
A.
servedCommunitiesIn
Indicates that an entity has provided services or support to communities located within a specified area or jurisdiction.
-
B.
hasCommunityServed
Indicates that an entity provides services or benefits to, or is intended to support, a particular community or group of people.
-
C.
organizationTypeServed
Indicates the type of organization that is served or supported by a given entity or activity.
-
D.
hasCommunityService
Indicates that an entity is associated with, participates in, or is subject to community service activities or obligations.
-
E.
servesCommunityDescribedAs
chosen
Indicates that an entity provides services or support to a community characterized or described in a particular way.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:32 a.m.