Triple
T35607821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 90 |
E1028944
|
entity |
| Predicate | tollSections |
P99816
|
FINISHED |
| Object | Massachusetts 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: Massachusetts Turnpike | Statement: [Interstate 90, tollSections, Massachusetts Turnpike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollSections Context triple: [Interstate 90, tollSections, Massachusetts Turnpike]
-
A.
tollSectionLocation
Indicates the specific geographic area or road segment where a toll section is situated.
-
B.
tollSectionState
Indicates the status or condition of a specific toll road section within a tolling system.
-
C.
tollRoadOf
chosen
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
D.
tollRoadFunction
Indicates that a road segment operates as a toll facility, requiring payment from users for access or passage.
-
E.
tollRoadClass
Indicates the classification or category assigned to a toll road based on its type, characteristics, or tolling scheme.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec80034819090b6ef7a0ffe2d3a |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.