Triple
T71572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California–Nevada border |
E1431
|
entity |
| Predicate | demarcates |
P1175
|
FINISHED |
| Object | differences in state law between California and Nevada |
—
|
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: differences in state law between California and Nevada | Statement: [California–Nevada border, demarcates, differences in state law between California and Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demarcates Context triple: [California–Nevada border, demarcates, differences in state law between California and Nevada]
-
A.
separates
chosen
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
B.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
C.
decides
Indicates that an entity makes a choice or determination between options, often resolving uncertainty or selecting a course of action.
-
D.
defined
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
E.
determined
Indicates that an entity has firmly decided on a course of action or conclusion, typically after consideration or effort.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69a24eab7f408190a8275cb82474f575 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.