Triple
T14802415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marulan |
E347939
|
entity |
| Predicate | hasTruckStop |
P107291
|
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: [Marulan, hasTruckStop, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTruckStop Context triple: [Marulan, hasTruckStop, true]
-
A.
hasTruckTraffic
Indicates that there is truck-related vehicular movement or flow occurring on or through a specified location or route.
-
B.
hasRestAreas
Indicates that a route, location, or facility includes one or more designated rest areas available for use.
-
C.
hasServiceStationNetworkIn
Indicates that an entity operates or maintains a network of service stations within a specified geographic area or region.
-
D.
hasRoadsideFacility
chosen
Indicates that a location or route segment is associated with a facility or service situated along its roadside.
-
E.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf30d044819082ac038e06481aab |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:33 a.m.