Triple
T31445003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | federal expressway system of Malaysia |
E802163
|
entity |
| Predicate | hasNonTollRoads |
P57334
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [federal expressway system of Malaysia, hasNonTollRoads, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonTollRoads Context triple: [federal expressway system of Malaysia, hasNonTollRoads, yes]
-
A.
isTollRoadForMostSegments
Indicates that the road is designated as a toll road along the majority of its segments or length.
-
B.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
C.
hasTollBoothsAt
Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
-
D.
isTollRoadVia
Indicates that a route or path involves traveling on a toll road for some or all of its course.
-
E.
nonTollSection
chosen
Indicates that a road segment or section is not subject to toll charges for its use.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00a22e32f481909b6006c5b1cdefd3 |
completed | May 10, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a00a1bd9c908190b4aa17a61f48126f |
completed | May 10, 2026, 3:18 p.m. |
Created at: April 30, 2026, 9:08 p.m.