Triple
T35488081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clatonia, Nebraska |
E1025651
|
entity |
| Predicate | hasMinorityOfAreaWater |
P76684
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Clatonia, Nebraska, hasMinorityOfAreaWater, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinorityOfAreaWater Context triple: [Clatonia, Nebraska, hasMinorityOfAreaWater, false]
-
A.
hasAreaWaterBody
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
B.
isMajorDeepWaterAreaOf
Indicates that one area constitutes a primary or significant deep-water region of another area or entity.
-
C.
hasWatersOf
Indicates that a geographic or physical entity contains, is traversed by, or is otherwise characterized by specific bodies or types of water.
-
D.
inlandWaterPercentage
chosen
Indicates the proportion of a geographic area’s total surface that is covered by inland water bodies such as lakes, rivers, and reservoirs.
-
E.
hasWaterBasins
Indicates that one entity possesses, contains, or includes one or more water basins in relation to another entity.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:04 p.m.