Triple
T4902610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia County Public Library |
E109835
|
entity |
| Predicate | hasMainServiceArea |
P46644
|
FINISHED |
| Object | Columbia County, Florida |
—
|
NE NERFINISHED |
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: Columbia County, Florida | Statement: [Columbia County Public Library, hasMainServiceArea, Columbia County, Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainServiceArea Context triple: [Columbia County Public Library, hasMainServiceArea, Columbia County, Florida]
-
A.
hasPrimaryServiceArea
chosen
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
B.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
C.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
D.
hasMainLocationType
Indicates that an entity is associated with a primary or predominant type of location that characterizes where it is mainly situated or operates.
-
E.
hasServiceAreaPopulation
Indicates that an entity has a service area characterized by a specific population size or count.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:28 p.m.