Triple
T32577264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kertosono |
E832679
|
entity |
| Predicate | onTollRoad |
P99816
|
FINISHED |
| Object | Trans-Java Toll Road |
—
|
NE NERFINISHED |
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: Trans-Java Toll Road | Statement: [Kertosono, onTollRoad, Trans-Java Toll Road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onTollRoad Context triple: [Kertosono, onTollRoad, Trans-Java Toll Road]
-
A.
tollRoadOf
chosen
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
-
B.
tollRoadFunction
Indicates that a road segment operates as a toll facility, requiring payment from users for access or passage.
-
C.
hasTollBoothsAt
Indicates that toll booths are present at or associated with a particular location or segment of infrastructure.
-
D.
appliesTollTo
Indicates that a fee or charge is imposed on a subject for using, accessing, or passing through something.
-
E.
hasToll
Indicates that the use, access, or passage associated with something requires payment of a toll or fee.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c63f57188190a67c787135fad0a4 |
completed | May 3, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:04 a.m.