Triple
T8347503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern State Parkway |
E196076
|
entity |
| Predicate | hasExitType |
P48913
|
FINISHED |
| Object | numbered exits |
—
|
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: numbered exits | Statement: [Southern State Parkway, hasExitType, numbered exits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExitType Context triple: [Southern State Parkway, hasExitType, numbered exits]
-
A.
hasExitFor
Indicates that something provides or includes a specific exit intended for a particular destination, purpose, or user.
-
B.
hasExits
chosen
Indicates that an entity provides one or more ways out or routes leading from it to other locations or states.
-
C.
isMajorExitOf
Indicates that one location serves as a primary or significant exit point from another location or route.
-
D.
hasStopType
Indicates that a stop or stopping point is classified as having a particular type or category of stop.
-
E.
hasOutputType
Indicates that an entity produces, returns, or yields a result of a specified type.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.