Triple
T3688144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princes Highway |
E78274
|
entity |
| Predicate | roadNumberInSouthAustralia |
P28856
|
FINISHED |
| Object | A1 |
—
|
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: A1 | Statement: [Princes Highway, roadNumberInSouthAustralia, A1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNumberInSouthAustralia Context triple: [Princes Highway, roadNumberInSouthAustralia, A1]
-
A.
roadName
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
B.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
C.
roadServed
Indicates that a road is provided with necessary services or infrastructure support by a responsible entity.
-
D.
stateRouteDesignation
chosen
Indicates the specific state-level route number or designation assigned to a roadway within a state highway system.
-
E.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.