Triple
T9672587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 214 (unused number) |
E234064
|
entity |
| Predicate | stateContext |
P35320
|
FINISHED |
| Object | California Interstate numbering |
—
|
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: California Interstate numbering | Statement: [Interstate 214 (unused number), stateContext, California Interstate numbering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateContext Context triple: [Interstate 214 (unused number), stateContext, California Interstate numbering]
-
A.
stateStructureContext
chosen
Indicates the contextual framework or structural conditions of a state within which a given relationship or action occurs.
-
B.
regionContext
Indicates the broader geographic or spatial setting within which an entity, event, or relationship is situated or interpreted.
-
C.
sessionContext
Indicates the contextual relationship in which a session occurs, including its surrounding conditions, parameters, or environment that shape or influence that session.
-
D.
statePosition
Indicates the spatial or situational position or status of an entity within a defined context or system.
-
E.
stateObject
Indicates that an entity is in, or associated with, a particular state or condition.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.