Triple
T5237648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Highway |
E118261
|
entity |
| Predicate | followsApproximateRouteOf |
P2127
|
FINISHED |
| Object | John McDouall Stuart’s exploration route |
—
|
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: John McDouall Stuart’s exploration route | Statement: [Stuart Highway, followsApproximateRouteOf, John McDouall Stuart’s exploration route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsApproximateRouteOf Context triple: [Stuart Highway, followsApproximateRouteOf, John McDouall Stuart’s exploration route]
-
A.
followsRouteOf
chosen
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
B.
isPartOfRoute
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
-
C.
approachRoute
Indicates the path or method taken by one entity as it moves toward or comes closer to another entity or target.
-
D.
isMostCommonRouteTo
Indicates that one route is the most frequently used or typical way to reach a particular destination or outcome compared to all other possible routes.
-
E.
followsHighway
Indicates that one entity’s path or route runs along, parallels, or adheres closely to the course of a specified highway.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b27990c8190b6a3c24de09c8c18 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.