Triple
T20051819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleasant Hills, Pennsylvania |
E499218
|
entity |
| Predicate | hasAccessToMajorRoadways |
P385
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pleasant Hills, Pennsylvania, hasAccessToMajorRoadways, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessToMajorRoadways Context triple: [Pleasant Hills, Pennsylvania, hasAccessToMajorRoadways, true]
-
A.
hasMajorHighway
chosen
Indicates that a location or area is served by or directly connected to a major highway route.
-
B.
isOnlyMajorRoadAccessTo
Indicates that one road is the sole major roadway providing access to a particular place or area.
-
C.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
D.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
E.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632ee4d48190b9de3a1efa064492 |
completed | April 20, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.