Triple
T20939853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska Panhandle and eastern Nebraska region |
E515688
|
entity |
| Predicate | spansTo |
P141782
|
FINISHED |
| Object | river valleys in eastern Nebraska |
—
|
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: river valleys in eastern Nebraska | Statement: [Nebraska Panhandle and eastern Nebraska region, spansTo, river valleys in eastern Nebraska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansTo Context triple: [Nebraska Panhandle and eastern Nebraska region, spansTo, river valleys in eastern Nebraska]
-
A.
numberOfSpans
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
B.
settingSpans
Indicates that a particular setting or configuration applies across, or is valid for, a specified span or range (such as a time interval, text range, or other continuous segment).
-
C.
tailSpan
Indicates the length or extent of an entity’s tail, typically measured from its base to its tip.
-
D.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
-
E.
archSpan
Indicates the distance or extent between the supports of an arch, typically measured horizontally from one side to the other.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:50 p.m.