Triple
T34262787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SH 190 |
E879080
|
entity |
| Predicate | associatedWithFrontageRoads |
P138133
|
FINISHED |
| Object | President George Bush Turnpike 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: President George Bush Turnpike frontage roads | Statement: [SH 190, associatedWithFrontageRoads, President George Bush Turnpike frontage roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFrontageRoads Context triple: [SH 190, associatedWithFrontageRoads, President George Bush Turnpike 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.
roadAssociatedWith
Indicates that there is a relevant connection or linkage between a road and another entity, such as use, location, function, or impact.
-
C.
hasPublicAccessAlongRoad
Indicates that something is accessible to the public from or along an adjacent road.
-
D.
streetFrontageOn
Indicates that a property or parcel directly borders or faces a particular street along at least one of its sides.
-
E.
linkedByRoadTo
Indicates that two locations are directly connected to each other by a road suitable for travel.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.