Triple
T7970005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droid Depot |
E185298
|
entity |
| Predicate | hasConveyorBeltPartsSystem |
P80073
|
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: [Droid Depot, hasConveyorBeltPartsSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConveyorBeltPartsSystem Context triple: [Droid Depot, hasConveyorBeltPartsSystem, true]
-
A.
hasConveyorBeltTo
Indicates that one location, machine, or area is connected to another by a conveyor belt that transports items between them.
-
B.
conveyorBeltType
Indicates the specific kind or category of conveyor belt associated with or used by an entity.
-
C.
hasConveyorBeltDestination
Indicates that an item on a conveyor belt is intended to be transported to a specific target location or endpoint.
-
D.
conveyorBeltLength
Indicates the length measurement of a conveyor belt in the relationship or context being described.
-
E.
usesBeltSystem
Indicates that a subject employs a structured belt-ranking system (e.g., colored belts) to denote levels of skill, progress, or status.
- F. None of above. chosen
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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd304dc8190b9feee5e17fc66db |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:13 p.m.