Triple
T7331581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larz Anderson Auto Museum |
E169011
|
entity |
| Predicate | hasNotableVehicle |
P60619
|
FINISHED |
| Object | early 20th-century luxury automobiles |
—
|
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: early 20th-century luxury automobiles | Statement: [Larz Anderson Auto Museum, hasNotableVehicle, early 20th-century luxury automobiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableVehicle Context triple: [Larz Anderson Auto Museum, hasNotableVehicle, early 20th-century luxury automobiles]
-
A.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
B.
hasVehicleCollection
chosen
Indicates that an entity possesses or maintains a set or collection of vehicles.
-
C.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
D.
hasVehicleAccess
Indicates that an entity is permitted to use or enter a particular vehicle.
-
E.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:03 p.m.