Triple
T36337108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont Troll |
E894817
|
entity |
| Predicate | vehicleModelDepicted |
P129078
|
FINISHED |
| Object | Volkswagen Beetle |
E38697
|
NE 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: Volkswagen Beetle | Statement: [Fremont Troll, vehicleModelDepicted, Volkswagen Beetle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleModelDepicted Context triple: [Fremont Troll, vehicleModelDepicted, Volkswagen Beetle]
-
A.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
B.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
C.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
-
D.
usedVehicleModel
Indicates that a vehicle is a pre-owned (used) instance of a particular vehicle model.
-
E.
depictsVehicle
chosen
Indicates that one entity visually represents or portrays a vehicle in an image, artwork, or other depiction.
- F. None of above.
Provenance (4 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39a31c749881908b1c290ba4cf26d1 |
completed | June 22, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.