Triple
T29610096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 476 |
E754690
|
entity |
| Predicate | tollSectionName |
P66454
|
FINISHED |
| Object | Northeast Extension of the Pennsylvania Turnpike |
—
|
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: Northeast Extension of the Pennsylvania Turnpike | Statement: [Interstate 476, tollSectionName, Northeast Extension of the Pennsylvania Turnpike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollSectionName Context triple: [Interstate 476, tollSectionName, Northeast Extension of the Pennsylvania Turnpike]
-
A.
tollSectionState
Indicates the status or condition of a specific toll road section within a tolling system.
-
B.
tollFacilityName
Indicates the name assigned to a toll facility where tolls are collected.
-
C.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
D.
highwaySectionName
chosen
Indicates the specific name assigned to a particular section or segment of a highway.
-
E.
tollRoadFunction
Indicates that a road segment operates as a toll facility, requiring payment from users for access or passage.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66dea375881909684db997861425c |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:28 p.m.