Triple
T32263189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grave Digger |
E824214
|
entity |
| Predicate | numberOfActiveTrucks |
P203354
|
FINISHED |
| Object | multiple touring trucks |
—
|
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: multiple touring trucks | Statement: [Grave Digger, numberOfActiveTrucks, multiple touring trucks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfActiveTrucks Context triple: [Grave Digger, numberOfActiveTrucks, multiple touring trucks]
-
A.
numberOfVehicles
Indicates the total count of vehicles associated with a given entity or context.
-
B.
hasTruckTraffic
Indicates that there is truck-related vehicular movement or flow occurring on or through a specified location or route.
-
C.
vehiclesOperational
Indicates that the vehicles are currently functional and available for use or service.
-
D.
allCargoFleet
Indicates that the entire fleet or group in question consists exclusively of cargo-carrying units.
-
E.
numberInService
chosen
Indicates that a specified number of instances of an entity are currently active, operational, or in service.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a019b8995dc819088727aa023beadce |
completed | May 11, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
completed | May 11, 2026, 8:40 a.m. |
Created at: May 1, 2026, 12:41 a.m.