Triple
T32271479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle Expressway |
E824424
|
entity |
| Predicate | usesTransponderSystem |
P36504
|
FINISHED |
| Object | NC Quick Pass |
—
|
NE NERFINISHED |
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: NC Quick Pass | Statement: [Triangle Expressway, usesTransponderSystem, NC Quick Pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTransponderSystem Context triple: [Triangle Expressway, usesTransponderSystem, NC Quick Pass]
-
A.
requiresTransponder
chosen
Indicates that one entity must have or use a transponder in order to interact with, access, or be accepted by another entity or system.
-
B.
transponderType
Indicates the specific kind or category of transponder associated with an entity or used in a given context.
-
C.
hasTransponders
Indicates that one entity possesses, is equipped with, or includes one or more transponders in relation to another entity or context.
-
D.
numberOfTransponders
Indicates the quantity of transponders associated with or contained by a given entity.
-
E.
isPartOfAviationSystem
Indicates that something functions as a component or subsystem within a broader aviation system or infrastructure.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 12:42 a.m.