Triple
T37758082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 35 in Austin, Texas |
E941175
|
entity |
| Predicate | frontageRoadConfiguration |
P138133
|
FINISHED |
| Object | one-way frontage roads |
—
|
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: one-way frontage roads | Statement: [Interstate 35 in Austin, Texas, frontageRoadConfiguration, one-way frontage roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontageRoadConfiguration Context triple: [Interstate 35 in Austin, Texas, frontageRoadConfiguration, one-way frontage roads]
-
A.
hasFrontageRoads
chosen
Indicates that a primary road or highway is accompanied by one or more adjacent frontage roads running alongside it.
-
B.
streetFrontageOn
Indicates that a property or parcel directly borders or faces a particular street along at least one of its sides.
-
C.
hasRoadConfiguration
Indicates that there exists a specific arrangement or layout of roads associated with or characterizing an entity.
-
D.
hasStreetFront
Indicates that one entity directly borders or faces onto a particular street along its frontage.
-
E.
hasSideStreetType
Indicates that an entity (such as a street or road segment) is associated with a specific type or classification of side street.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.