Triple
T7970020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droid Depot |
E185298
|
entity |
| Predicate | hasAssemblyStations |
P79834
|
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, hasAssemblyStations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssemblyStations Context triple: [Droid Depot, hasAssemblyStations, true]
-
A.
hasAssemblyLineFor
Indicates that one entity operates or contains an assembly line specifically used to produce, process, or assemble another entity.
-
B.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
C.
hasDedicatedStations
chosen
Indicates that specific stations are exclusively assigned or reserved for a particular entity or purpose.
-
D.
hasFinalAssemblyLine
Indicates that one entity serves as the final assembly line where another entity’s components or subassemblies are brought together and completed.
-
E.
hasComponentStation
Indicates that an entity includes or is associated with a specific station as one of its component parts.
- 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_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. |
Created at: March 30, 2026, 5:13 p.m.