Triple
T29526891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury Colony Park |
E749091
|
entity |
| Predicate | cargoAreaFeature |
P46451
|
FINISHED |
| Object | folding rear seats |
—
|
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: folding rear seats | Statement: [Mercury Colony Park, cargoAreaFeature, folding rear seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cargoAreaFeature Context triple: [Mercury Colony Park, cargoAreaFeature, folding rear seats]
-
A.
cargoSpace
Indicates that one entity provides storage capacity or room for carrying goods, equipment, or other items for another entity.
-
B.
cargoCapacityFeature
chosen
Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
-
C.
hasPassengerArea
Indicates that an object or vehicle includes a designated area intended for carrying passengers.
-
D.
canCarryPassengersInCargoArea
Indicates that an entity is capable of transporting passengers specifically within its designated cargo area.
-
E.
hasCargoAccess
Indicates that an entity has the ability or permission to access a designated cargo area or its contents.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9d5df48190ad10afb467a9c7a6 |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 4:47 p.m.