Triple
T26050745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell County |
E647967
|
entity |
| Predicate | hasSmallTownCommunities |
P109384
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Russell County, hasSmallTownCommunities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallTownCommunities Context triple: [Russell County, hasSmallTownCommunities, true]
-
A.
hasSmallCommunities
chosen
Indicates that an entity possesses or is characterized by the presence of relatively small communities within it.
-
B.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
C.
hasRuralCommunes
Indicates that an entity possesses, includes, or is associated with one or more rural communes.
-
D.
hasSmallTownIndustry
Indicates that a small town possesses or supports a particular type of industry or industrial activity.
-
E.
hasRemoteCommunities
Indicates that an entity maintains or is associated with communities located in distant or geographically isolated areas.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6065e26748190bac3160a91599913 |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:11 a.m.