Triple
T12803579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downstate Illinois |
E306084
|
entity |
| Predicate | definitionIs |
P62235
|
FINISHED |
| Object | everything outside the Chicago metropolitan area in common usage |
—
|
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: everything outside the Chicago metropolitan area in common usage | Statement: [Downstate Illinois, definitionIs, everything outside the Chicago metropolitan area in common usage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definitionIs Context triple: [Downstate Illinois, definitionIs, everything outside the Chicago metropolitan area in common usage]
-
A.
definitionText
chosen
Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or entity.
-
B.
definitionInvolves
Indicates that the meaning or explanation of one concept necessarily includes or depends on another concept.
-
C.
defined
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
D.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
E.
wordDefinition
Indicates that one entity provides the meaning or explanation of a word represented by the other 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.